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# Crypto 101 Glossary - In layman's terms
#### Crypto Coin
A digital object that is generated and maintained by a **_blockchain network_**.
#### Blockchain Network
A decentralized network of computers running a program that keeps them communicated
and sharing information between them. One important piece of information that these
computers share is a secured ledger that describes all of the transactions involving
their managed coins that have happened since the inception of the network.
#### Crypto Token
Contrary to popular belief, a crypto token is not the same as a **crypto coin**. As described
above, a coin is maintained and managed by a **blockchain network**. A token on the other hand
does not have its own network. It runs instead, on top of an existing crypto coin.
The first widely known example of this is the Ethereum network that allows for the existence
of **_ERC-20_** tokens. The one HABEO runs on top of is the Binance Smart Chain (BSC for short)
network that allows for the existence of **_BEP-20_** tokens.
Tokens are digital objects and are maintained and tracked by a **_Smart Contract_**.
#### Smart Contract
These are short computer programs that run on top of a **crypto coin’s** **blockchain network** and are
immutable (they run forever without being able to be modified).
These contracts create **crypto tokens** and other digital objects and follow a predefined set of
rules for their management and administration.
#### ERC-20 and BEP-20
These are standards for the creation of **crypto tokens**. Basically, they are a set of rules that
all tokens must follow. ERC-20 is the standard for the **Ethereum network** whereas BEP-20 is the one
for the **BSC network**.
The two are very much the same since the BEP-20 standard is 100% based on the ERC-20 standard.
However, they might start drifting away from each other in the future.
#### Wallet
Most people that are new to crypto objects believe that wallets are some sort of physical device
or a computer program. The truth is that even though wallets can be “managed” by physical devices
or computer programs, they are simply an address. That’s it, a wallet is just an address in the
**blockchain network** they belong to.
Basically, there are two components that make up this address, a private key and a public key.
The public key is usually referred to as the “address” itself. This address is public and anyone
knowing it can only use it to send digital objects to it. Nothing else.
On the other hand, the private key (the other part of the wallet) needs to be kept, as the name
indicates, private.
The private key is what allows users to spend or transfer their digital objects.
Some programs that manage wallets don’t allow users to manage or even see their private keys and
keep them hidden so they can only be used by the program when necessary. Some other programs do
allow for users to manage their private keys. They both have their benefits that we’ll discuss at
some other point.
#### Transferring, spending or swapping digital objects
Basically, they are all the same from a technical perspective. Both, transferring and spending,
mean sending objects from one **wallet** to another.
The wallet receiving the objects is usually an individual’s wallet.
Swapping on the other hand, also means sending an object to another wallet but, in this particular
case, the destination wallet would be an **_exchange_** or a **smart contract**.
#### Exchange
An exchange is a program (**smart contract**) that allows for the swapping of some digital objects
for other digital objects or the usage of FIAT currency (Dollars, Euros, etc.) to acquire or dispose
of digital objects.
When obtaining digital objects, the user utilizes FIAT currencies from a bank account or credit card
to fund their exchange account. Once money is deposited, they can choose from the variety of digital objects
that the exchange offers to acquire.
Not all exchanges offer all digital objects and some digital objects are not available in every exchange.
So, sometimes multiple “swaps” need to happen for a user to be able to obtain a specific digital object.
For the Ethereum network, some of these swaps are done through a platform called **_Uniswap_** (and others).
For the BSC network, the most common platform is **_PancakeSwap_**.
#### Uniswap and PancakeSwap
These platforms are examples of what’s called an Automatic Market Maker (AMM for short). AMMs allow for a
swap to happen even when there is no offer or demand available.
In regular **exchanges** (like in the stock market), anytime someone wants to acquire an object needs to coincide
in time and price with an offering party. Viceversa, when someone wants to dispose, needs to coincide with someone
that wants to acquire at that price point. Once the two parties agree on the value, the operation is executed and
the objects change hands.
With AMMs, the need for both parties to coincide in value and time is replaced by a concept called **_Liquidity
Pool_**
that enables these trades to happen when only one party is present.
#### Liquidity Pool
For the trades mentioned above to happen, there needs to be “something” interested in accepting the digital objects
the user is using to trade and the same “something” interested in letting go of the digital objects the user is
looking to acquire.
That “something” is called a Liquidity Pool (LP for short).
Liquidity Pools offer “pairs” of tokens/coins to trade. For instance, a LP that serves a Token1/Token2 pair,
allows for Token1 being traded for Token2 and vice versa. This enables users to offer a certain amount of Token1
to acquire a certain amount of Token2 and the other way around too.
When these pairs are created, they are provided an arbitrary amount of each token. At that very moment, the “value”
of both tokens (in relationship to the other) is determined in the LP. Depending on the proportion in which the
tokens
are initially provided, their value related to each other will be different.
If the pool is created with 100 units of Token1 and 10 units of Token2, then the value for each Token2 would be 10
Token1 and the value for each Token1 would be 0.1 Token2.
With every transaction that happens, users are either adding Token1 to the pool and taking Token2 from the pool, or
vice
versa.
These operations create imbalances in the proportion of the tokens used for liquidity on the pool thus making the
“value”
go up, or down in relationship to the other.
However, if a user is looking to acquire Token2 but only wants to offer Token3, the transaction will not be possible
unless
the LP serves the Token2/Token3 pair too.
This way, for certain scenarios, a user might need to trade a couple times before obtaining the desired object.
One more important detail to know about LPs is that the liquidity is provided by users/contracts.
This means that either a contract or a user had to create the “pair” by providing an arbitrary amount of Token1 and
Token2
for that pair to exist and be useful.
After the pair is created, any number of users can add liquidity but they all need to add it in a balanced way at
whatever
the price of Token1 compared to Token2 is at that time.
When users or contracts add liquidity to an LP, they receive what is called **_LP-Tokens_** in exchange.
#### LP-Tokens
LP-Tokens can have different names (in PancakeSwap they are called CAKE-LP) but they all serve the same purpose.
The LP-token is a sort of a cashier’s check certifying that the account that received the LP-tokens, owns that
portion of the
**liquidity** and can remove it at any time by just “returning” the LP-tokens.
If enough liquidity is removed, the token pair becomes untradeable and people owning the objects cannot trade them
in that platform.
This is commonly known as a **_rug pull_**.
This is why it is important that any new digital object being created, offers at least some period of “Locked
Liquidity”.
When a token states that its liquidity is “Locked”, it means that the LP-tokens are kept in a time locked mechanism
in which they
cannot be used to redeem the liquidity for a determined period of time.
There is also the alternative to “renounce” the LP-tokens effectively locking the affected liquidity forever.
HABEO locks its liquidity forever by renouncing it. The initial liquidity provided at the end of the early
distribution and the
subsequent additions to liquidity that the contract generates over time through **_Auto-LP_** are renounced by
**burning** the CAKE-LP received
by the contract.
#### Rug Pull
This is a scam practice that is very common in new projects with digital objects.
The owner of the token provides very little initial liquidity and enables the token to be traded.
All early participants start acquiring the token with highly valued objects (for example BNB) accepted by the
exchange as a pair to
the newly created token.
This sudden influx of valued objects creates an imbalance sending the value of the new object suddenly skyrocketing
which in turn makes
other people want to jump into the race further accelerating the value action.
Once scammers feel the loot is good, they have two main avenues to finish their scam:
They can use their LP-tokens to redeem their initial liquidity that is now highly imbalanced towards very little
“new token” and a lot
of highly valued objects (for example BNB).
They can dispose of a very large amount of their token by trading it for BNB leaving very little liquidity for the
rest of the world to operate.
#### Taxes
Certain transactions with tokens on the smart contracts are taxed, meaning that a percentage of the amount of tokens
being sent is retained
by the smart contract.
There are a few different uses that are given to these taxes.
Most contracts implement a combination of: **_reflection_**, **Auto-LP**, **_token burning_** and **_dev-team
fees_**.
HABEO has a very innovative tax structure that favors token users and long time holders and limits day traders.
#### Reflection
Is a method by which smart contracts provide a sort of dividend to the wallets that hold their tokens.
Basically, some of the transactions with the tokens are taxed and part of those taxes are distributed evenly and
proportionally among the
users that hold any amount of tokens from the contract. This way, users holding the object see their balances grow
by just holding their tokens.
HABEO implements a very aggressive reflection strategy.
#### Auto-LP
This is a method by which contracts continuously add liquidity (pair of tokens) to the **LP** with which they are
operating.
This is useful to allow an increased number of transactions to be successful assuring the LP always has Token1 and
Token2 available for trading.
HABEO continuously adds liquidity.
#### Token Burning
Burning tokens means that contracts (or users) voluntarily send tokens to an inaccessible wallet (generally the
wallet with address 0x00..)
so those tokens are removed from circulation permanently.
This creates a situation in which fewer and fewer tokens are available in the market creating market pressure and
because of the result of
offer and demand imbalance, increase the price of the token.
This is comparable to having 5 rare coins (let’s say, US quarters) valued at $1000 each and suddenly throwing one
into a furnace. Now there’s
only 4 coins left so the price of each of the remaining ones will increase because their rarity has increased.
HABEO burned 50% of the available tokens right at the close of the early distribution and will continuously burn
tokens until the supply
becomes 2.5% of the original amount.
#### Dev-Team fees
These are fees that some contracts implement to become a sort of payment to the dev team that has created the
contract.
HABEO has no Dev-Team fees. But, it accepts donations.
#### Bridges
Bridges are Smart Contracts that allow for the usage of tokens that live in one blockchain in a different
blockchain.
The way they work is that they receive the original token in its blockchain, they lock it and they mint an
equivalent number of “wrapped”
tokens in the other blockchain.
This way, users can now use their newly wrapped tokens in the new blockchain to swap them for objects that live on
it.
When users want to move the tokens back to their original blockchain, they simply send them to the contract, the
contract burns the wrapped
tokens and frees the original tokens on their original blockchain.


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Hi. Are you interested in coding and numbers? Here you can see my vision of coding and designing. Hope you like it. I am electrician and programmer from Finland. My hobbies include programming, electronics and vehicles.
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Poldark's Series Finale Gave Us Hope and Closure
by Keri LummKeri Lumm reviews the final episode of Poldark for Paste, which you can watch in the video above or read the full transcript of below.
From the first moment we saw Aidan Turner’s abs until now, five seasons later, Poldark has captivated fans. (Even when he was so naughty we wanted to put him in the time out corner. Which was a lot of the time.)
The last episode of the series begins with Ross using Tess, and Demelza finds out about their affair.
Will he ever keep his pants closed unless he is with Demelza? If you get married, be married!
Demelza gets mad and leaves him and goes to Caroline and Dr. Enys’ house. But of course, then we find out that really Ross is just using Tess to uncover a plot of the French and to protect King and Country. Demelza doesn’t know this though, and unfortunately George and his cohorts are out to get Ross and assume he is involved in treason.
They want him to hang.
Even after it becomes clear to George and his partners that Ross is actually on the right side of things. They are still mad at him and decide not to pass along the notes Dr. Enys took from the hidden hole in the floor.
The thing you can’t forget though, even though he always seems to be waffling in his love is that Ross really does love Demelza and she really does love him. So when Caroline tells Demelza what is really going on, Demelza goes home, just as Ross is about to find himself at the end of a gun.
She steps in front of the gun to save him or at least buy him time, but her speech is confusing. She speaks the truth about all the bad things Ross has done, but it is enough for him to end up in a duel of swords. However, at the end when it looks like he is going to die, he has an unlikely savior: George!
He couldn’t let them kill Ross, even though he hates him. He resents that he is the father of his heir, and hates that his wife always really loved him. But George has a moment of redemption. He and Ross are somehow at peace. George decides to close up his house Trenwith, and with it memories of Elizabeth, which we see her shadow re-enter the house.
He also asks Ross to stay out of his son’s life.
It’s a request that is heartbreaking to Ross since it is actually his child, but after George saved his life, he doesn’t argue.
Dwight and Caroline also make up, and she opens her heart to him. (Even with their issues, this is still my favorite couple in the show.)
Morwenna gives birth to her and Drake’s child. I guess they were original hipsters, because they name her Loveday.
Ya’ll, don’t name your child this.
Ross and Dwight head out on an adventure together for the Crown, but they will be back because Ross and Demelza are having another baby.
Ultimately, this series finale did what good series finales do. It gave closure.
In a season finale, fine, leave me hanging. In a series finale, give me hope or give me closure, but either way—give us a real ending.
Poldark did just that.
Keri is a professional chatterbox who loves watching TV & movies, reading about pop culture, and gawking at any craziness on the internet. You can follow Keri on Twitter.
For all the latest TV news, reviews, lists and features, follow @Paste_TV.


torchtraining.callbacks¶
Traditionally known callback-like pipes.
Note
IMPORTANT: This module is one of core features so be sure to understand how it works.
This module allows user to (for example):
* `save` their best model
* terminate training (early stopping)
* log data to `stdout`
Example:
class TrainStep(tt.steps.Train):
def forward(self, module, sample):
...
return loss, targets
step = TrainStep(criterion, device)
step ** tt.Select(loss=0) ** tt.callbacks.TerminateOnNan()
Users can also use specific callbacks
which integrate with third party tools,
namely:
tensorboard
neptune
comet
Note
IMPORTANT: Most of the training related logging/saving/processing is (or will be) in this package.
-
class
torchtraining.callbacks.
EarlyStopping
(patience: int, delta: numbers.Number = 0, comparator: Callable = <built-in function gt>, log='NONE')[source]¶ Stop
epoch
ifpatience
was reached without improvement.Example:
class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss, accuracy step = TrainStep(criterion, device) iteration = tt.iterations.Train(step, module, dataloader) # Stop if mean accuracy did not improve for `5` iterations iteration ** tt.Select(accuracy=1) ** tt.accumulators.Mean() ** tt.callbacks.EarlyStopping( patience=5 ) # Assume epoch was created from `iteration`
- Parameters
patience (int) – How long not to terminate if metric does not improve
delta (Number, optional) – Difference between
best
value and current considered as an improvement. Default:0
.comparator (Callable(Number, Number) -> bool, optional) – Function comparing two values - current metric and best metric. If
true
, reset patience and use current value as the best one. One can use Python’s standardoperator
library for this argument. Default:operator.gt
(current
**best
)log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
- Returns
Data passed in forward
- Return type
Any
-
forward
(data)[source]¶ - Parameters
data (Any) – Anything which can be passed to
comparator
(e.g.torch.Tensor
).
-
class
torchtraining.callbacks.
Log
(name: str, log='INFO')[source]¶ Log data using
loguru.logger
.Example:
class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss, accuracy step = TrainStep(criterion, device) iteration = tt.iterations.Train(step, module, dataloader) # Log with loguru.logger accuracy iteration ** tt.Select(accuracy=1) ** tt.callbacks.Logger("Accuracy")
- Parameters
name (str) – Name under which data will be logged. It will be in format “{name}: {data}”
log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
data (Any) – Anything which can be sensibly represented with
__str__
magic method.
- Returns
Data passed in forward
- Return type
Any
-
class
torchtraining.callbacks.
Save
(module: torch.nn.modules.module.Module, path: pathlib.Path, comparator: Callable = <built-in function gt>, method: Callable = None, log: Union[str, int] = 'NONE')[source]¶ Save best module according to specified metric.
Note
IMPORTANT: This class plays the role of
ModelCheckpointer
known from other training libs. It is user’s role to load module and pass tostep
, hence we provide onlysaving
part of checkpointing (may be subject to change).Example:
import operator class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss step = TrainStep(criterion, device) iteration = tt.iterations.Train(step, module, dataloader) # Lower (operator.lt) loss than current best -> save the model iteration ** tt.accumulators.Mean() ** tt.callbacks.Save( module, "my_model.pt", comparator=operator.lt )
- Parameters
module (torch.nn.Module) – Module to save.
path (pathlib.Path) – Path where module will be saved. Usually ends with
pt
suffix, see PyTorch documentation.comparator (Callable(Number, Number) -> bool, optional) – Function comparing two values - current metric and best metric. If
true
, save new module and use current value as the best one. One can use Python’s standard operator library for this argument. Default:operator.gt
(current
**best
)method (Callable(torch.nn.Module, pathlib.Path) -> None, optional) – Method to save
torch.nn.Module
. Takes module and path and returns anything (return value is discarded). Might be useful to transform model intotorch.jit.ScriptModule
or do some preprocessing before saving. Default:torch.save
(whole model saving)log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
- Returns
Data passed in forward
- Return type
Any
-
forward
(data: Any) → Any[source]¶ - Parameters
data (Any) – Anything which can be passed to
comparator
(e.g.torch.Tensor
).
-
class
torchtraining.callbacks.
TerminateOnNan
(log: Union[str, int] = 'NONE')[source]¶ Stop
epoch
if anyNaN
value encountered indata
.Example:
class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss, targets step = TrainStep(criterion, device) step ** tt.Select(loss=0) ** tt.callbacks.TerminateOnNan()
- Parameters
log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
- Returns
Data passed in forward
- Return type
Any
-
forward
(data)[source]¶ - Parameters
data (torch.Tensor) – Tensor possibly containing
NaN
values.
-
class
torchtraining.callbacks.
TimeStopping
(duration: float, log='NONE')[source]¶ Stop
epoch
after specified duration.Python’s
time.time()
functionality is used.Can be placed anywhere (e.g.
step ** TimeStopping(60 * 60)
) as it’s not data dependent.Example:
class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss step = TrainStep(criterion, device) iteration = tt.iterations.Train(step, module, dataloader) # Stop after 30 minutes iteration ** tt.callbacks.TimeStopping(duration=60 * 30)
- Parameters
duration (int | float) – How long to run (in seconds) before exiting program.
log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
- Returns
Data passed in forward
- Return type
Any
-
class
torchtraining.callbacks.
Unfreeze
(module, n: int = 0, log='NONE')[source]¶ Unfreeze module’s parameters after
n
steps.Example:
class TrainStep(tt.steps.Train): def forward(self, module, sample): ... return loss, accuracy step = TrainStep(criterion, device) iteration = tt.iterations.Train(step, module, dataloader) # Assume `module`'s parameters are frozen # Doesn't matter what data goes it, so you can unfreeze however you wish # And it doesn't matter what the accumulated value is iteration ** tt.Select(accuracy=1) ** tt.accumulators.Sum() ** tt.callbacks.Unfreeze( module )
- Parameters
module (torch.nn.Module) – Module whose
parameters
will be unfrozen (grad
set toTrue
).n (int) – Module will be unfrozen after this many steps.
log (str | int, optional) –
Severity level for logging object’s actions. Available levels of logging:
NONE 0
TRACE 5
DEBUG 10
INFO 20
SUCCESS 25
WARNING 30
ERROR 40
CRITICAL 50
Default:
INFO
- Returns
Data passed in forward
- Return type
Any


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--- layout: post title: EXTRA! EXTRA! Read all about it! tags: [] status: publish type: post published: true meta: _edit_last: "3" --- http://www.nytimes.com/2012/03/15/fashion/mixed-martial-arts-catches-on-with-the-internet-generation.html?_r=1


THE BLAIR WITCH PROJECT RATING: 5 / 10 --> Not a good movie
For more reviews and movie screensavers, visit http://www.joblo.com/
This film made a major impression at the 1999 Sundance Film Festival. This film made a major impression on moviegoers when it opened wide on July 30th, with a box-office gross of close to US$30 Million, with only a $30,000 filming budget. This film also made major impressions with most movie critics who agreed that this film was one of the creepiest rides of a lifetime.
I must've missed that movie critic memo. This film made only a minor impression on me.
PLOT: Three young filmmakers go out into the woods to film a documentary about the legend of the Blair Witch. They are lost and never heard from again, until someone finds all of their videotape footage. This film is a compilation of their footage from the woods.
CRITIQUE: This film simply did not "do it" for me. I thought it was an original idea with an extremely authentic look and acting from its main characters, but God help if I didn't really find it all that interesting, scary or even entertaining. The last fifteen minutes of this film get a little creepy, and certainly leaves for an impression, but unfortunately, you have to sit through an hour and more of watching these three kids walking, talking shite, getting creeped out here and there, and whispering in the dark. I am assuming that all of this activity absorbed others into the characters and their plight, but I just thought it was pretty boring. It was like watching a camping trip video of some friends that I could care less about.  This is definitely NOT a scary movie.
If there was ever a film to which you could stick the motto "Don't believe the hype", it would be this one. And I'm not saying that the film is garbage either. It's like I said, I thought the style and premise were interesting, the actors believable and solid in their roles, with funny moments here and there, but overall, the film just didn't do much for me. It got a little spooky near the end, and certainly tied itself nicely to a story told at the beginning of the film by a town person, but don't go into this film thinking that you are going to get your pants scared off of you, cause that's not its primary intention. In fact, if you have a problem watching a camera jittering about for an hour and a half, you may just get nauseous watching the film stock shot here.
Did Mrs. JoBlo like it? Nope. I even caught her staring at the ceiling of the theatre every now and then. All in all, you obviously needn't take my word for it, since there are many huge fans of the film surfing the Web as we speak, but in my humble little opinion, the movie did not make any special impression upon me, and certainly did not entertain my sorry ass for its duration. And I think that is ultimately the main criteria of any film-- was it entertaining? In this case...no. See it on video, if interested.
Little Known Facts about this film and its stars: In case some of you still aren't sure...Is the film a real documentary or not? THE BLAIR WITCH PROJECT is entirely fictional. The entire thing is the brainchild of the films' co-writers/co-directors, Ed Sanchez and Dan Myrick, and was made over the past two years. The three student filmmakers are all played by actors. The actors used their real names in the film, and the conditions were a bit different than your average shoot. First off, the actors actually had to agree (it was written into their contracts) that they could be messed with psychologically. Then, they were sent off into the woods for eight days, and literally shot the film themselves (Shot at the Seneca Creek State Park in Maryland). Over 18 hours of raw footage was generated from the excursion in the woods. The only contact that they had with the crew was through notes and minimal rations left for them to pick up daily (they also carried a GPS (Global Positioning Satellite receiver), so they couldn't really get lost, and so that the crew knew where they were in the forest and where to head for instructions and food.) They knew their "characters" well, and knew the general setup of the "story", but everything that happens as the story unfolds was a surprise to them. The film was shot in October of 1997 and the directors spend more than a year editing the film down to its final product. Has the legend of the "Blair Witch" also been fictionalized? Yes, it was also created by the filmmakers, as were all the supporting documents and all the events in the Blair Witch mythology (See http://www.blairwitch.com/). The filmmakers wanted to create a sense of history to add to the depth and believability of the film. This movie is the feature film debut of all three of its young stars, Heather Donahue, Michael C. Williams and Joshua Leonard. Michael is already set to co-star opposite Robert DeNiro and Cuba Gooding Jr. in a film entitled NAVY DIVER, due out in the year 2000. Not too bad, eh? An alternative ending was shot for Artisan Entertainment, but the studio left the decision as to which ending to use to the filmmakers, so they went with their original ending. Maybe we will see this and some of the deleted scenes on the DVD release. Needless to say, ideas for prequels and sequels are already being seriously tossed around.
Review Date: August 8, 1999 Directors: Daniel Myrick and Eduardo Sanchez Writers: Daniel Myrick and Eduardo Sanchez Producers: Robin Cowie and Gregg Hale Actors: Heather Donahue as Heather Donahue Michael C. Williams as Michael C. Williams Joshua Leonard as Joshua Leonard Genre: Thriller Year of Release: 1999 ------------------------------------- JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------- (c) 1999 Berge Garabedian
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Jean Rivier, expert on stress hormones, dies at age 78
by The Associated PressSAN DIEGO — Jean Rivier, a chemist who led groundbreaking research on stress and helped discover drugs that treated endometriosis and prostate cancer, has died. He was 78.
The San Diego Union-Tribune reports Rivier died in San Diego Wednesday from complications of Parkinson’s disease.
Rivier devoted his career to studying a stress hormone called corticotropin-releasing factors. His research showed how CRFs are responsible for many of the body’s reactions to stress, including disabling the immune system in irritable bowel syndrome.
His work resulted in eight drugs used to diagnose and treat a variety of diseases, including endometriosis, a painful uterine disorder; prostate cancer; and intractable pain.
Rivier studied chemistry in Lausanne, Switzerland, where he met his wife and scientific partner, Catherine. They moved to San Diego in 1970 to work at the Salk Institute for Biological Studies.
The Associated Press


Computer scientist with a passion for distributed systems, interesting algorithms, and developing the kinds of tools that allow people to find the data they're looking for, and then put the data to use solving practical, real-world problems.
I love working with truly large datasets, learning new languages, and applying them to both work and personal projects. Work experience to date includes some of the world's largest infrastructures, in a variety of computing roles and contexts.


Toolkits > SamplePacketFileSource 2.0.0 > sample > TestPacketFileSourceBasic1.spl
composite TestPacketFileSourceBasic1 { param expression<rstring> $pcapFilename: getSubmissionTimeValue("pcapFilename", "../../SampleNetworkToolkitData/data/sample_dns+dhcp.pcap" ); type PacketType = uint64 packetNumber, // sequence number of packet, as emitted by operator uint64 packetsProcessed, // total number of packets processed by operator, so far uint64 bytesProcessed, // total number of bytes of packet data processed by operator, so far float64 captureTime, // time that packet was captured, in seconds since Unix epoch uint8 ipVersion, // IP version: 4 for IPv4, 6 for IPv6 rstring ipProtocol, // IP protocol: 0x01==1 for ICMP, 0x6==6 for TCP, 0x11==17 for UDP rstring ipSourceAddress, // IP source address, or empty if not IP packet uint16 ipSourcePort, // IP source port, or zero if not UDP or TCP packet rstring ipDestinationAddress, // IP destination address, or empty if not IP packet uint16 ipDestinationPort, // IP destination port, or zero if not UDP or TCP packet uint32 packetLength, // original length of packet (not necessarily all captured) uint32 payloadLength, // length of packet payload, following all network headers blob packetData, // contents of packet captured, including network headers (possibly truncated) blob payloadData; // contents of packet payload, following all network headers graph stream<PacketType> PacketStream as OutPackets = PacketFileSource() { logic state: { map<uint8,rstring> ipProtocols = { 1: "icmp", 6: "tcp", 17: "udp" }; } param pcapFilename: $pcapFilename; output OutPackets: packetNumber = packetsProcessed() - 1ul, packetsProcessed = packetsProcessed(), bytesProcessed = bytesProcessed(), captureTime = (float64)CAPTURE_SECONDS() + (float64)CAPTURE_MICROSECONDS() / 1000000.0, ipVersion = IP_VERSION(), ipProtocol = IP_PROTOCOL() in ipProtocols ? ipProtocols[IP_PROTOCOL()] : (rstring)IP_PROTOCOL(), ipSourceAddress = IP_VERSION()==4ub ? convertIPV4AddressNumericToString(IPV4_SRC_ADDRESS()) : ( IP_VERSION()==6ub ? convertIPV6AddressNumericToString(IPV6_SRC_ADDRESS()) : ""), ipDestinationAddress = IP_VERSION()==4ub ? convertIPV4AddressNumericToString(IPV4_DST_ADDRESS()) : ( IP_VERSION()==6ub ? convertIPV6AddressNumericToString(IPV6_DST_ADDRESS()) : ""), ipSourcePort = IP_SRC_PORT(), ipDestinationPort = IP_DST_PORT(), packetLength = PACKET_LENGTH(), payloadLength = PAYLOAD_LENGTH(), packetData = PACKET_DATA(), payloadData = PAYLOAD_DATA(); } () as PacketSink = FileSink(PacketStream) { param file: "debug.TestPacketFileSourceBasic1.PacketStream.out"; format: txt; hasDelayField: true; flush: 1u; } }


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Item 4.
Rename a File from File Manager Menu:
From Main Menu, Open File Manager letter f
Open Rename file submenu letter r
-
"Rename file on drive?" is displayed. To rename a file on the BrailleNote,
To toggle options for SD card or Flash disk space, enter
To select most recently used disk enter
Toggle down the list of folders to the one that contains the file you want to rename space, enter
Toggle down the list of files space, enter
"New name for file " is displayed. Write the new name for your file.
TO accept typed name enter.
"File Manager Menu" is displayed.


I've made my home base in Providence, Rhode Island, with my small growing family. My journey into tech started with a degree in journalism. As I started sharing my writing online, I was fascinated with how easily I could get my voice out there. I was hooked and wanted to learn how to build my own site to fit my own specific needs.
That curiosity then opened a door that could never be shut. When I learned how to build my first website, I realized I found something that gave me the freedom & versatility I was looking for in my work. Now I've made a full switch to front-end development, where I can use my organization skills and eye for detail to write clean, elegant code.
My focus is writing clean, well formatted, semantic HTML5 by hand to make sure that the content is easy to read, easy to collaborate, troubleshoot and accessible.
I pride myself on writing CSS that is easy to read and build on. I focus on keeping my CSS lean and fast to load, and I make it a habit to stay up to date on current best practices.
You can trust me to take a designer's PSD and quickly & accurately convert it into a webpage that is the pixel-perfect match.
Let's meet for a cup of coffee.
hi [@] jubileeausten.comOr, find me on the interwebs


WITNESS LIST Public Health Committee March 17, 1999-1:30P HB 91 For: Cooper, Lynn (Self and Zonta Club of Austin, Zonta International District 10) Kuhl, M.D., Peter (Self) Registering, but not testifying: On: Evans, John E. (Self) HB 134 On: Baldwin, Jeff (Texas Department of Criminal Justice) Koenig, Sr., Robert P. (Texas Department of Criminal Justice) Registering, but not testifying: On: McKinney, Paula (Texas Department of Health) HB 629 For: Bates, Terri (Self and Texas J Regional Advisory Council) Craig-Blanco, Phyllis (Self and Texas J Regional Advisory Council) Against: Jacks, Tommy (Self and Texas Trial Lawyers Association) Registering, but not testifying: For: Haussecker, Ron (Self and Emergency Medical Services Association of Texas) Jones, Claude (Texas Police Chiefs Association) Walker, Craig (Texas Ambulance Association) On: Spence, Carey (Self) HB 747 Against: Jacks, Tommy (Self and Texas Trial Lawyers Association) On: Wall, Matthew T. (Texas Hospital Association) Registering, but not testifying: Against: Borges, Walt (Court Watch) On: McGiffert, Lisa (Consumers Union) HB 765 Registering, but not testifying: On: Hacker, Sidney Bailey (Texas Comptroller's Office) Tennyson, Susan (Texas Department of Health) HB 875 Registering, but not testifying: On: Coombes, Phyllis (Texas Comptroller's Office) LeBrun, Aurora F. (Office of Investigations and Enforcement, Health and Human Services Commission) HB 1151 On: Camp, Larry (Texas Office for Prevention of Developmental Disabilities) Levin, Ilan (Sunset Advisory Commission) Registering, but not testifying: For: Brady, Denise (The ARC of Texas) On: Walker, Lesa R. (Texas Department of Health) HB 1197 On: Helmcamp, Dewey (Attorney General) Registering, but not testifying: For: Taylor, Clare (Self and Texas Cosmetology Commission) Thompson, Lynne (Texas Association of Cosmetology Schools) Willmann, James (Texas Nurses Association) Woolbert, Lynda (Coalition for Nurses in Advanced Practice) HB 1420 For: Hanna, Mark J. (Texas Podiatric Medical Association) Solomon, D.P.M., Carl (Self and Texas Podiatric Medical Association) HB 1444 For: Bishop, M.D., Mike (Texas Association for Marriage & Family Therapy) Evans, Richard A. (Self and Bandera County Commissioners Court) Farrell, Wayne (Self and Texas Association of Local Health Officials) Fruthaler, Carolyn (Grayson County Health Department) Glover, Sue (Texas Association of Counties) Guerra, M.D., Fernando A. (Self and San Antonio Metropolitan Health District) Loving, Mike (San Angelo - Tom Green County Health Department) Raimer, M.D., Ben G. (Self and Texas Statewide Health Coordinating Council) Robinson, Jerry (City of Laredo/Webb County Health Department, Texas Association of Local Public Health Officials) Walker, Craig (Texas Rural Health Association, Texas Organization of Rural and Community Hospitals) Yoas, Jessie A. (Texas Public Health Association) On: Archer, William Reyn (Texas Department of Health) Guckian, M.D., James (Self) Provost, Glen (Self) Registering, but not testifying: For: Boucher, Terry (Texas Osteopathic Medical Association) Davis, Helen Kent (Texas Medical Association) Garcia, R.S., Celestino R. (Self and City of Midland Health Department) Gonzalez, Adela N. (Self) Helmly, Gay (Self) Herzog, Greg (Texas Academy of Family Physicians) Rodriguez, Margie A. (Self) Wilson, Karen (Self) On: Daniels, Carol (Texas Department of Health) Taylor, Nora Cox (Center for Rural Health Initiatives) HB 1491 For: Tomlin, W. Dalton (Baylor College of Medicine) On: Cobos, Tony (Texas State Board of Medical Examiners) Guckian, M.D., James (Self) Holcombe, M.D., John R. (Self and Texas Medical Association, Texas Alliance of Nonprofit 5.01a Corporations) HB 1514 Registering, but not testifying: On: Coombes, Phyllis (Texas Comptroller's Office) LeBrun, Aurora F. (Office of Investigation and Enforcement, Health and Human Services Commission) HB 1572 For: Hanna, Mark J. (Texas Podiatric Medical Association) Registering, but not testifying: For: Solomon, D.P.M., Carl (Self and Texas Podiatric Medical Association) HB 1652 For: Brown, Nonie (Self and Hep C Advocate Network) Guerra, M.D., Fernando A. (Self and San Antonio Metropolitan Health) McWilliams, M.D., Gary (Carelink University Health System) Phillips, Sharon (Self and Hep C Advocate Network) Seboldt, Pamela (Self) Westbrook, Pam (Self and Hep C Advocate Network) On: Stanley, M.D., Sharilyn K. (Texas Department of Health) Registering, but not testifying: For: Alvarado, Deborah (Self) Boucher, Terry (Texas Osteopathic Medical Association) Durkin, John (Self) Freeman, Herold (Texas Medical Association) Herzog, Greg (Texas Academy of Family Physicians) Hughes, Phil (Self) Lack, Darrel (Self) Manuel, Jim G. (Self) Murray, Pamela (Self) Peoples, Cynthia (Self) Slade, Ray Donovan (Self) HB 1860 For: Hill, M.D., DeWayne (Self) Villagomez, Evangelina T. (Self) Villas, Paul (Self) Registering, but not testifying: For: Calderon, D.D.S., Hiram (Self) Solomon, D.P.M., Carl (Texas Podiatric Medical Association) On: Pendergrass, M.D., Desiree B. (Texas Department of Health) HB 1894 Registering, but not testifying: On: Alexander, Cindy (Comptroller of Public Accounts) Cottrell, Terry (Texas Department of Health)


If you love Telegram but don't want to leave Discord then you'll be pleased to find we've built a bridge in this channel. If you'd like to join the group in the Telegram app you can find it here: https://t.me/KomodoPlatform_Official.
Between 20-Dec-19 12:00 AM and 21-Dec-19 12:00 AM
GatewayBOT20-Dec-19 03:37 AM
[telegram] <joshuamayu44> Is Kmd going to offer a stable coin?
[telegram] <joshuamayu44> I think a .05% transaction fee would be ideal
GatewayBOT20-Dec-19 05:50 AM
[telegram] <Chiraofarl> (re @mrcheap: I’ll have a look Thanks)
A brand new #stablecoin protocol is under development at #Komodo
jl777 is the core developer and founder of @KomodoPlatform
#crypto #cryptoeuro $KMD $EURK #atomicdex
Likes
119
GatewayBOT20-Dec-19 06:42 AM
[telegram] <Pari_1362> Are there any fans of art? You know that blockchain has already improved all the industries, but I wonder if there are any solutions for this field. I think that art sphere must be transparent, especially the information about the certain piece of art, it’s history, dates, centuries, owners, and so on. There are so many fake art pieces. I know that Tilcoin solves these problems, like Fresco, Veristart. But I enjoyed the first one more as it has its own ecosystem and token with benefits like compensations, participation in art events, as well as the high-quality precision.
GatewayBOT20-Dec-19 08:20 AM
[telegram] <ToNio87fr> Hi! Do you know when the withdrawals from Binance will be up again please?
GatewayBOT20-Dec-19 08:52 AM
[telegram] <Suzycrabgrass> It took makerdao years to design their stable coin.
GatewayBOT20-Dec-19 11:31 AM
[telegram] <EPIDEMIC_media> January 20th 2020 (re @ToNio87fr: Hi! Do you know when the withdrawals from Binance will be up again please?)
[telegram] <EPIDEMIC_media> Im joking. They said 2 days
[telegram] <ToNio87fr> Thanks
GatewayBOT20-Dec-19 12:20 PM
[telegram] <Acura360> Forwarded from Acura360: Blockchain Fundamentals with Komodo Platform
In this article, we’ll look at why Equihash plays a vital role in the security of blockchain networks and examine its effectiveness at ASIC resistance. We’ll also explore various implementations and modifications of the original Equihash algorithm among prominent blockchain projects.
Read more here.
https://komodoplatform.com/equihash-algorithm/
Komodo is advancing nSPV technology with integration to the Antara Framework and the development of secure static HTML wallets. Learn more here.
GatewayBOT20-Dec-19 12:57 PM
[telegram] <EPIDEMIC_media> Hectic week. Ill have some free time today to check it out. Thank you
GatewayBOT20-Dec-19 02:37 PM
[telegram] <EPIDEMIC_media> Will check it out today, I gotta read the Tezos breakthru too. Hectic week. Thank you (re @Regnar: Hey have you read the updated nSPV article? I thought it was excellent.
https://komodoplatform.com/advancing-nspv-technology/)
Komodo is advancing nSPV technology with integration to the Antara Framework and the development of secure static HTML wallets. Learn more here.
GatewayBOT20-Dec-19 03:12 PM
[telegram] <Rakib320> Lot's of newcomers! Welcome onboard.
GatewayBOT20-Dec-19 03:26 PM
[telegram] <Regnar> Probably a bunch of scam bots but for those who aren't, welcome
[telegram] <D0geking> I would say all of them are bots xd
GatewayBOT20-Dec-19 04:12 PM
[telegram] <Acura360> Final reminder everyone. We are 483 blocks, ~8.5h away from the Network upgrade. This is a mandatory platform upgrade, so all miners, exchanges, and individuals running full-seed nodes must update to the latest software before block 1670000. Those who do not update will not run on the correct network.
[telegram] <RegulusR> (re @EPIDEMIC_media: Im joking. They said 2 days)
GatewayBOT20-Dec-19 06:31 PM
[telegram] <Marcauj> Hi guys just saw the mandatory upgrade announcement
[telegram] <Marcauj> What does it mean for the ordinary KMD holder
[telegram] <polycryptoblog> Shouldn’t affect anything for regular user, if running a full node make sure that software is updated and not on a fork when activation height hits
[telegram] <Marcauj> Not running anything as far as I know
[telegram] <Marcauj> Just hodling KMD on ledger
[telegram] <Marcauj> Thanks (re @polycryptoblog: Shouldn’t affect anything for regular user, if running a full node make sure that software is updated and not on a fork when activation height hits)
GatewayBOT20-Dec-19 07:03 PM
[telegram] <RegulusR> The fear is that exchange will not upgrade. (re @polycryptoblog: Shouldn’t affect anything for regular user, if running a full node make sure that software is updated and not on a fork when activation height hits)
[telegram] <TheCrabbyPaddy> Any idea if ledger has updated
GatewayBOT20-Dec-19 09:17 PM
[telegram] <Acura360> holding kmd on ledger is fine for the upcoming update (re @TheCrabbyPaddy: Any idea if ledger has updated)
#ETHEREUM #ETH #CRYPTO GIVEAWAY ETH ETHEREUM ETHEREUM Vitalik Buterin conference & GIVEAWAY ETH We are celebrating a successful start of Ethereum 2.0 testnet...
Documentation for developers building on the Komodo Platform
[telegram] <kremer (n k)> so far i'm unable to. console returns
Job for electrumx_KMD.service failed because of unavailable resources or another system error.(edited)
[telegram] <kremer (n k)> details showing electrumx is failing to start and electrumx_KMD.service is also failing to start


FireAndForget
public struct FireAndForget<IgnoringOutput> : SignalProducerProtocol
Fire And Forget is a SignalProducer for when you don’t care about the output of certain async operation. It’s important to notice that this operation can’t fail. If you want to also ignore the failure, then you can catchErrors and return nil in the proper init. It may complete successfully when task is done.
-
Declaration
Swift
public typealias Value = IgnoringOutput
-
Declaration
Swift
public typealias Error = Never
-
Declaration
Swift
public let producer: SignalProducer<IgnoringOutput, Never>
-
Init a FireAndForget signal producer by providing a closure with the operation to execute and ignore the output.
Declaration
Swift
public init(_ operation: @escaping () -> Void)
Parameters
operation
any operation you want to run async and ignore the result
-
Init a FireAndForget signal producer by providing an upstream that never fails so we can simply ignore its output
Declaration
Swift
public init<S>(_ upstream: S) where S : SignalProducerProtocol, S.Error == Never
Parameters
upstream
any signal producer that never fails
-
Init a FireAndForget signal producer by providing an upstream that could fail, as well as a catchErrors function to ensure that FireAndForget can’t itself fail. You can safely return nil from catchErrors. Otherwise outputs sent from catch errors will NOT be ignored, only those from the happy path.
Declaration
Swift
public init<S>(_ upstream: S, catchErrors: @escaping (S.Error) -> IgnoringOutput?) where S : SignalProducerProtocol


Watch everything.
Stream Warrior displays multiple Twitch streams at once. Just pick an option under Streams, click to bring up the chat, and watch it all.
Stream Warrior displays multiple Twitch streams at once. Just pick an option under Streams, click to bring up the chat, and watch it all.