text:
Episode #18: We Are The Bees with Maryam Henein
In this episode, you will learn about Colony Collapse Disorder and why bees are dying and how this parallels what is happening with human health.
Find The Show On...
About My Guest
My guest for this episode is Maryam Henein. Maryam Henein is an investigative journalist, activist, filmmaker and entrepreneur. She directed the documentary "Vanishing of the Bees" and is founder of www.HoneyColony.com. Following a near-fatal pedestrian versus car crash that dragged her for 49 feet, which broke her leg, vertebrae and several ribs and necessitated a titanium rod for her recovery in 2002, she researched issues of health and nutrition to help her in her recovery and became aware of colony collapse disorder. Henein directed the 2010 documentary, "Vanishing of the Bees" narrated by Ellen Page. Since the release of Vanishing of the Bees, Henein has become an outspoken advocate of bees and bee colonies, non-GMO foods, and the release of pesticides into the environment. She is the founder of HoneyColony Inc., a member supported online magazine that hosts a number of optimized-health and investigative writers called "Hive Advisers" and aims at empowering you to be your own best health advocate. She continues to work on projects involving bees and contamination of the food supply. She recently released her eBook titled "Learn How One Digital Nomad is During Her Autoimmune Disorder" available on Amazon.com. She has written hundreds of hard-hitting articles over the span of her 20 year career. She is also a yogi, dancer, health nut, and voracious bookworm.
What health challenges did she overcome herself?
What do bees do for us and what happens without them?
How was she drawn to create "Vanishing of the Bees"?
What are the factors involved in colony collapse disorder?
What can we do to avoid pesticides in our food?
What is metabolomics?
What health-supporting products come from bees?
What is HoneyColony?
Connect With My Guest
http://www.honeycolony.com
http://www.vanishingbees.com
The content of this show is for informational purposes only and is not intended to diagnose, treat, or cure any illness or medical condition. Nothing in today's discussion is meant to serve as medical advice or as information to facilitate self-treatment. As always, please discuss any potential health-related decisions with your own personal medical authority.


text:
Q: Проблема с подключением к удаленному репозиторию у меня есть проблема с подключением к удаленному репозиторию github. Есть уже давно функционирующий репозиторий, мне нужно подключиться к нему, создать свою ветку, скопировать другую ветку и изменения занести в свою и начать работать. Но я копирую репозиторий и прописываю следующие команды:
git init
git add .
git commit -am 'first commit'
git remote add origin <ссылка репозитория>

Но у меня не происходит подключения к к этому репозиторию, я не самый опытный пользователь git, поэтому могу тупить. Если можете помочь напишите ответ, но если вдруг вы не заняты, я буду крайне признателен, если мы созвонимся

redpajama_set_name: RedPajamaStackExchange


I am excited to invite you to discover the difference that Trinity's Children's Ministries can make in the life of your child! All of our programs are created for children to enjoy themselves while they learn about God. We teach basic biblical truths and pack the learning process with fun. Our volunteers and staff are a dedicated group with a love for God and for children.
We welcome children every Sunday morning for worship and educational opportunities!
Every Wednesday our building is full of children, youth, and adults laughing, learning, and sharing in God's love.
Get ready for another summer of fun-filled, Christ-centered activities!
We offer faith-based enrichment programs for children 18 months to 5 years old.
We are dedicated to providing a quality early childhood program in a safe and caring Christian environment in our preschool licensed by the state of Wisconsin.
The Sunday School program does not have a set fee. A donation of $20 per student is suggested to help offset the cost of supplies, Spark curriculum, and Bibles. Programs such as Early Childhood Enrichment programs, choirs, and Impact all have fees as noted. Fees are due at the time of registration and are non-refundable.
Scholarships/Financial Assistance available: We want all children to be able to take part in Trinity's Christian programming. If cost is an issue for your family for any reason, please contact Sara Reed at sarar@trinity-ec.org or 715.832.6601.
All programs, camps, and events are open to the community.
Teachers: When you log in to Spark, click on the "Calendar" link on the top right of the screen. There you will find a place download the lesson for each day.


text:
"Smart opportunities are often the beginning of great enterprises"
Demosthenes, ancient Greek statesman and orator
Smart mobility is a new and revolutionary way of thinking about how we get around — one that is cleaner, safer, and more efficient. Put another way: "Zero Emissions, Zero Accidents, Zero Ownership."The concept of smart mobility includes a wide range of modes of transportation: kick scooters, bicycles (regular, electric, foldable), electric buses, light rail trains, streetcars, taxis, autonomous vehicles, walking… the list is growing. Moreover, users have the option to own or share.
The concept goes beyond just alternative forms of transportation. Smart mobility is built on the following principles:
Flexibility: Multiple modes of transportation allow travelers to choose which ones work best for a given situation.
Efficiency: The trip gets the traveler to their destination with minimal disruption and in as little time as possible.
Integration: The full route is planned door-to-door, regardless of which modes of transportation are used.
Clean Technology: Transportation moves away from pollution-causing vehicles to zero-emission ones.
Safety: Fatalities and injuries are drastically reduced.Smart mobility promises true convenience: using whatever mode of transportation that best suits a traveler in better health, and saved money.
Smart mobility promises true convenience: using whatever mode of transportation that best suits a traveler in better health, and saved money. The options for implementing smart mobility vary, leaving municipalities lots of room to find solutions tailored for their residents.
In Aigialeia region, your entrance in a more sustainable way of moving will come through the following infrastructure and activities/clubs:
The bicycle lane in the coast line of the city of Aigio, promoting a more responsible and sustainable way of mobility
The Mountain Trekking Club of Aigio, founded back in 1930 offering wonderful excursions in the surroundings mountains of Aigialeia
The biking club of Aigio "Diagoras"
The Horse riding club of Aigio under the same name
The Nautical Club of Aigio
"Odontotos" railway. "Odontotos" starts from the railway station of Diakopto town and follows the breathtaking Vouraikos gorge. After a distance of 22,350 metres and within 60 minutes it ends in the mountain town of Kalavrita, 750 metres from the surface of the sea. The steep and imposing Vouraikos Gorge with the "Odontotos" railway crossing it, is located in the northern part of the Chelmos – Vouraikos Geopark. Next to the train tracks lies part of the European path E4 used by Greek and foreign hikers alike. The E4 path itself, passing from the sacred place of Delphi, continues with ferry from Ag. Nicholas to Aigio in order to enter Peloponnese, and then to the town of Diakopto which after Kalavrita permeates throughout central mountainous Peloponnese, resulting in Githio and from there to Crete.

redpajama_set_name: RedPajamaCommonCrawl


Whether or not you support the legalization of weed, there is a weed that we have to oust and that is the invasive weed. Tag along as a group of llamas and volunteers from Friends of Flagstaff's Future and the Arboretum clean up Buffalo Park.
Bald Eagles are a cherished natural resource that through the efforts of organizations like Game and Fish and Liberty Wildlife have been able to recover from endangerment here in AZ. Willow Bend celebrated Bald and Golden Eagles alike and invited us!
Want to know how commercials are made? You're not going to learn it here... Want to see the silliness behind the scenes? You're in the right place. Dapper Dre, the Snowy Owl, takes us behind the scenes of a commercial shot at the Toasted Owl.


text:
ECP takes notice of Ali Haider Gillani's leaked video
March 2, 2021 Edit
ISLAMABAD (92 News) - The Election Commission of Pakistan (ECP) on Tuesday took notice of leaked video of Ali Haider Gillani, son of former premier and Senate candidate Yousuf Raza Gillani, meeting with PTI MNAs ahead of Senate polls 2021.
Taking notice of the PPP leader Haider Gillani's video, ECP said that investigation over a leaked video of PPP leader Ali Haider Gillani in which he is meeting with PTI MNAs and discussing matters related to the upcoming Senate polls will be conducted on merit.
Ahead of Senate elections, a video of Ali Haider Gillani, son of former premier and PDM's Senate candidate Yousuf Raza Gillani has surfaced which exposed the PPP leader 'buying vote' for upcoming Senate polls.
The leaked video shows a PPP leader asking the ruling PTI MNA to sell his vote. Ali Haider Gillani was also telling the PTI lawmaker how to waste his Senate vote. The video of Ali Haider Gillani was recorded a week back.
There will be a one-to-one contest between Finance Minister Hafeez Sheikh and former prime minister Yusuf Raza Gilani for a general seat.
Polling on the thirty seven vacant seats of Senate will be held tomorrow (Wednesday).
Polling will start at the Parliament House Islamabad and the provincial assemblies of Sindh, Balochistan and Khyber Pakhtunkhwa at 09:00am and will continue till 5:00pm without any break.
All the eleven candidates for Senate from Punjab have already been elected unopposed.
Two senators will be elected from the federal capital, eleven from Sindh and twelve each from Balochistan and Khyber Pakhtunkhwa.
In the federal capital, Abdul Hafeez Sheikh of PTI and Syed Yousaf Raza Gilani of PPP are vying for the general seat whilst for the women seat, Fozia Arshad of PTI and Farzana Kausar of PML (N) are in the field.
Twenty five candidates are in the field for twelve seats of Senate from Khyber Pakhtunkhwa, twenty six from Balochistan and seventeen from Sindh province.
The Election Commission of Pakistan (ECP) has completed all the arrangements to ensure free, fair and transparent Senate elections.
ECP Pakistan PTI MNAs


text:
Bladerunner Farms
About Zoysia
BRF Zeon Zoysia
JaMur Zoysia
Trinity Zoysia
Leisure Time Zoysia
FJ Select
Prizm Zoysia™
Lazer Zoysia™
Stadium Zoysia™
Full Projects List
Olympics Grass
AT&T Byron Nelson
Find a Grower
Become a Licensed Grower
Doguet Ventures
Turf Calculator
Research Papers & Case Studies
Bladerunner FarmsSuccess Stories
The varieties developed, grown and sold by Bladerunner Farms are some of the most innovative, advanced and sustainable grasses available on the market today. But don't take out word for it. The following success stories and testimonials are told by some of the people who've used our grasses with tremendous results.
In His Own Words: Superintendent Doug Petersan, Austin Golf Club, (retired July 2012) who had Zeon Zoysia on his golf course, interviewed on February 7, 2013 at the Golf Industry Show in San Diego.
"The water and fertilizer inputs are probably 50% of the other accepted turfgrasses people are using…
"With Zeon Zoysia we have reduced labor cost, reduced fertilizer costs, water reductions and still provide a superior playing surface. There is not a surface around that competes with zoysia for playability…
"Another huge difference, and this will become far more important, is chemical costs. Zoysia requires very little chemical control for fungicides, insecticides and herbicides. Zoysia, if it's grown properly, doesn't need herbicide because it creates such a dense surface the weeds cannot infest it …
"Zoysias requires less water than cool season grasses in the winter, spring, summer or fall…
"There's only one grass that they could choose to meet the sustainable criteria of the Olympic Committee: Zoysia…
"Zoysia retains its leaf surface. It doesn't lose its body. It probably plays better in winter dormancy than in summer. If you want it green in the winter, paint it. You don't need to overseed Zoysia."
In His Own Words: Dr. David Chalmers, Turf Extension Associate, South Dakota State University, interviewed on February 7, 2013 at the Golf Industry Show in San Diego
"The easiest grass for a golfer to hit a more precise shot from is a Zoysiagrass like Zeon. It makes the game more enjoyable for the average golfer. The ball sits so well and the maintenance is low to moderate. Even around the green, with chipping, because it's such a tight sod, it's easier to pitch the ball off of it."
In His Own Words: Dr. Milt Engelke, from a presentation given at Turfgrass Producers International conference, February 15, 2013, San Antonio, Texas
"Buffalograsses will be one of the most cold tolerant warm season grasses that we have …
"Zoysiagrasses have a very broad area of adaptation…
"In Zoysiagrass, effective salt glands pull the salts out of the soil. Zoysia can completely remediate the soil by pulling the salt out of the soil. I have seen soil remediation from 17,000 ppm to no detectable salts in two years on a golf course testing with Zoysia."
Bladerunner Farms is the world's largest privately owned zoysiagrass research facility.
-Connect with us-
About Bladerunner
Turfgrass Experts
JaMur Zoysia Photo Archive
BRF Zeon Zoysia Photo Archive
7 Zoysia Golf Course Projects Announced in 7 Different Locations Around the Globe
The Future is Now: Zoysia for Greens a Reality Today
Zoysia … oh, boy-a! Why the grass at Bellerive — yes, the grass — is the unheralded star of the show
ZOYSIA RENOVATION OF OAK HILLS COUNTRY CLUB COURSE CLOSE TO COMPLETION
Bladerunner Farms Inc.
802 Howard Road, Poteet, Texas 78065 | info@bladerunnerfarms.com | (888) 717-4455
Copyright © Bladerunner Farms 2023


One of the most significant changes brought by the American revolution and founding was the replacement of an aristocratic class system with the ideal of a democratic society—supported by a federal-democratic-republic form of government and free enterprise economic system.
Today we are witnessing a similar shift, but in a different direction: back to elitism and up in scale from national to global. The result is the advent of the first ruling globocracy in human history.
Between these extremes the reality is that the culture of the globocracy is growing, and throughout history new political forms and economic models typically follow the rise of new cultures. One author, Robert Frank, entitled this development simply Richistan.
Aristocracy and old money have been around for a long time. And for centuries an elite culture that operated above nations dominated in Europe. But this is the first time such a reality has been global in nature.
They have their "own healthcare system (concierge doctors), travel network (NetJets, destination clubs), separate economy…and language ('Who's your household manager?')".
Thomas L. Friedman predicted the rise of this group, which he called "the electronic herd." And Samuel P. Huntington's influential book The Clash of Civilizations seems to have missed that the chasm between the globocracy and the rest, rather than the widening gap between the West and non-Western civilizations, would be the major trend of the 21st Century.
Predictions of a Pacific Century, a China Century, and even the Information Age may be dwarfed by the impact of the globocracy.
It remains to be seen if the globocracy will at some point become a ruling class in politics—but no major elite group that I know of in history has refrained from trying. Certainly globocrats already exert significant political influence.
They also do a great deal of good in the world, and all indications are that this will continue. Many of the globocracy care deeply about freedom and the future of free enterprise, and some of the future great leaders of freedom will likely come from this group.
Whether or not the emerging globocracy turns into a parasitic class or a generation of social leaders depends on what might be called the Great Transition. Most wealth is created by people seeking wealth as an end, a final goal, a successful achievement.
The Great Transition consists of turning one's beliefs and perspectives to an entirely new viewpoint, where wealth is a means rather than an end.
This Transition is a major challenge for those who experience it.
Then, when the Great Transition comes into his life, he must determine whether or not to continue seeking wealth for personal ends or for larger societal reasons. He, or she, may begin to see his/her wealth as a part of societal or community resources.
The fine line between the government forcing this viewpoint upon the individual (the Marxist approach) and the wealthy person making this determination on her own (Adam Smith's approach) is massively important. The first reduces freedom and leads to decreased overall wealth in a society.
Not all of those with wealth make this Great Transition. Some who don't make it choose to emphasize lives of leisure and entertainment, while others continue to seek increased wealth as an end goal.
Sometimes seekers of wealth see it as a means to increased status and/or political power all along, but this is treated in history as pursuing an end—wealth as a means is not to amass it for benefits to self, but rather to use it to benefit others.
If our modern globocracy determines not to make the Great Transition, it will naturally create a global oligarchy that rules governments, economies and people from all classes.
Just having money doesn't give the globocracy full power over the world's subsistence, but using wealth to control governments would.
The future of the world will be drastically impacted by which choice the current globocracy makes—a new world oligarchy or a society with more statesmen, saints and sages. Time will tell which direction we take.
Whatever happens, this trend bears watching by all who care about the future of freedom, prosperity and widespread opportunity. If the globocracy heads in the direction of aristocratic rule, the regular people must be prepared to articulately and effectively communicate the dangers and propose real alternatives.
If the emerging globocracy moves toward the Great Transition, many of the regular citizenship must be prepared to partner with them in the work of statesmanship, service and wise societal leadership.


text:
John SZEKELY, also known professionally as John Pen v. EAGLE LION FILMS, Inc.
The plaintiff John Szekely has been a writer by profession for thirty-five years using the name, for his literary works, of "John Pen". His writings include a half dozen books and stage plays and over forty motion picture stories. For one of the motion picture stories he received an Academy Award, otherwise known as an "Oscar".
Rod E. Geiger Productions, Inc. acquired an exclusive license to produce a motion picture based upon the novel "Christ in Concrete" and hired plaintiff John Szekely to write a screenplay based on the book.
Geiger Productions agreed to pay the plaintiff for his services $35,000 in four installments, the last of which was to be due within three days after presentation of the final draft of the screenplay. In addition, plaintiff was to receive 5% of the producer's share of the net profits derived from the exploitation of the motion picture.
The plaintiff received $10,000 with the contract document in satisfaction of the first two installments. He presented a final draft of the screenplay early in 1948, but received no further payments from Geiger Productions. The released film was distributed under the titles 'Give Us This Day' and 'Salt to the Devil'.
Judgment: 1. Plaintiff had exclusive right to utilization of his manuscript until he was paid a total sum of $35,000, of which he received only $10,000.
2. The distribution by defendant of a screenplay based upon plaintiff's script without license from the plaintiff constituted an invasion of the literary property rights of the plaintiff therein.
3. Plaintiff is entitled to damages in the sum of $25,000 as against the defendant Eagle Lion, together with interest thereon from December 20, 1949.
4. Plaintiff is entitled to an injunction enjoining defendant Eagle Lion and its agents, servants, and representatives from further marketing and distribution of the film.
Give Us This Day lawsuit01


text:
from typing import Any, Dict, List, Optional

import pytest

import great_expectations.exceptions as ge_exceptions
from great_expectations.core.expectation_configuration import ExpectationConfiguration
from great_expectations.core.metric_domain_types import MetricDomainTypes
from great_expectations.data_context import DataContext
from great_expectations.rule_based_profiler.config import ParameterBuilderConfig
from great_expectations.rule_based_profiler.domain import Domain
from great_expectations.rule_based_profiler.expectation_configuration_builder import (
    DefaultExpectationConfigurationBuilder,
)
from great_expectations.rule_based_profiler.parameter_builder import (
    MetricMultiBatchParameterBuilder,
)
from great_expectations.rule_based_profiler.parameter_container import (
    ParameterContainer,
    build_parameter_container_for_variables,
    get_parameter_value_by_fully_qualified_parameter_name,
)

@pytest.mark.integration
@pytest.mark.slow  # 1.20s
def test_meta_not_dict_exception(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition = None
    max_user_id: int = 999999999999

    with pytest.raises(ge_exceptions.ProfilerExecutionError) as e:
        # noinspection PyTypeChecker
        DefaultExpectationConfigurationBuilder(
            expectation_type="expect_column_values_to_be_between",
            condition=condition,
            min_value=parameter_value.value[0],
            max_value=max_user_id,
            meta="Strings are not acceptable",
        )

    assert (
        str(e.value)
        == 'Argument "Strings are not acceptable" in "DefaultExpectationConfigurationBuilder" must be of type "dictionary" (value of type "<class \'str\'>" was encountered).\n'
    )

@pytest.mark.integration
@pytest.mark.slow  # 1.24s
def test_condition_not_string_exception(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: dict = {"condition": "$variables.tolerance<0.8"}
    max_user_id: int = 999999999999

    with pytest.raises(ge_exceptions.ProfilerExecutionError) as e:
        # noinspection PyTypeChecker
        DefaultExpectationConfigurationBuilder(
            expectation_type="expect_column_values_to_be_between",
            condition=condition,
            min_value=parameter_value.value[0],
            max_value=max_user_id,
        )

    assert (
        str(e.value)
        == 'Argument "{\'condition\': \'$variables.tolerance<0.8\'}" in "DefaultExpectationConfigurationBuilder" must be of type "string" (value of type "<class \'dict\'>" was encountered).\n'
    )

@pytest.mark.integration
@pytest.mark.slow  # 1.31s
def test_default_expectation_configuration_builder_alice_null_condition_parameter_builder_validation_dependency_separate(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: Optional[str] = None
    max_user_id: int = 999999999999

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value.value[0],
        max_value=max_user_id,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.34s
def test_default_expectation_configuration_builder_alice_null_condition_parameter_builder_validation_dependency_included(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"

    condition: Optional[str] = None
    max_user_id: int = 999999999999

    min_user_id_parameter_builder_config: ParameterBuilderConfig = (
        ParameterBuilderConfig(
            module_name="great_expectations.rule_based_profiler.parameter_builder",
            class_name="MetricMultiBatchParameterBuilder",
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
        )
    )
    validation_parameter_builder_configs: Optional[List[ParameterBuilderConfig]] = [
        min_user_id_parameter_builder_config,
    ]
    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=fully_qualified_parameter_name_for_value,
        max_value=max_user_id,
        validation_parameter_builder_configs=validation_parameter_builder_configs,
        data_context=data_context,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.33s
def test_default_expectation_configuration_builder_alice_single_term_parameter_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$parameter.my_min_user_id.value[0]>0"
    max_user_id: int = 999999999999

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value.value[0],
        max_value=max_user_id,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.25s
def test_default_expectation_configuration_builder_alice_single_term_parameter_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$parameter.my_min_user_id.value[0]<0"
    max_user_id: int = 999999999999

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value.value[0],
        max_value=max_user_id,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        parameters=parameters,
    )

    assert expectation_configuration is None

@pytest.mark.integration
@pytest.mark.slow  # 1.23s
def test_default_expectation_configuration_builder_alice_single_term_variable_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id>0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value.value[0],
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_single_term_variable_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value.value[0],
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration is None

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_two_term_and_parameter_variable_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id>0 & $parameter.my_min_user_id.value[0]>0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.18s
def test_default_expectation_configuration_builder_alice_two_term_and_parameter_variable_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id<0 & $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration is None

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_two_term_or_parameter_variable_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id>0 | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_two_term_or_parameter_variable_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id<0 | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration is None

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_more_than_two_term_parameter_variable_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999, "answer": 42}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id>0 & $variables.answer==42 | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.20s
def test_default_expectation_configuration_builder_alice_more_than_two_term_parameter_variable_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999, "answer": 42}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "$variables.max_user_id<0 | $variables.answer!=42 | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration is None

@pytest.mark.integration
@pytest.mark.slow  # 1.19s
def test_default_expectation_configuration_builder_alice_parentheses_parameter_variable_condition_true(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999, "answer": 42}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "($variables.max_user_id>0 & $variables.answer==42) | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration.kwargs["min_value"] == 397433

@pytest.mark.integration
@pytest.mark.slow  # 1.21s
def test_default_expectation_configuration_builder_alice_parentheses_parameter_variable_condition_false(
    alice_columnar_table_single_batch_context,
):
    data_context: DataContext = alice_columnar_table_single_batch_context

    batch_request: dict = {
        "datasource_name": "alice_columnar_table_single_batch_datasource",
        "data_connector_name": "alice_columnar_table_single_batch_data_connector",
        "data_asset_name": "alice_columnar_table_single_batch_data_asset",
    }

    metric_domain_kwargs: dict = {"column": "user_id"}

    min_user_id_parameter: MetricMultiBatchParameterBuilder = (
        MetricMultiBatchParameterBuilder(
            name="my_min_user_id",
            metric_name="column.min",
            metric_domain_kwargs=metric_domain_kwargs,
            data_context=data_context,
        )
    )

    variables: ParameterContainer = build_parameter_container_for_variables(
        {"max_user_id": 999999999999, "answer": 42}
    )
    parameter_container = ParameterContainer(parameter_nodes=None)
    domain = Domain(
        domain_type=MetricDomainTypes.COLUMN,
        domain_kwargs=metric_domain_kwargs,
        rule_name="my_rule",
    )
    parameters: Dict[str, ParameterContainer] = {
        domain.id: parameter_container,
    }

    min_user_id_parameter.build_parameters(
        domain=domain,
        parameters=parameters,
        batch_request=batch_request,
    )

    fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
    parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
        fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
        domain=domain,
        parameters=parameters,
    )

    condition: str = "($variables.max_user_id<0 | $variables.answer!=42) | $parameter.my_min_user_id.value[0]<0"
    max_value: str = "$variables.max_user_id"

    default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
        expectation_type="expect_column_values_to_be_between",
        condition=condition,
        min_value=parameter_value,
        max_value=max_value,
    )

    expectation_configuration: Optional[
        ExpectationConfiguration
    ] = default_expectation_configuration_builder.build_expectation_configuration(
        domain=domain,
        variables=variables,
        parameters=parameters,
    )

    assert expectation_configuration is None

redpajama_set_name: RedPajamaGithub


With releases on renowned labels such as Casual Jam Records (MrRevillz) and DIAMOND, German producer Blinded Hearts returns with a summer-inspired, feel-good tune on Tipsy Records. Immediately, captivating, 'Brand New' with its ballad driven chord progression and emotive vocals of Swedish singer-songwriter, Louise CS. This track offers exactly what it states on the tin. Delivering fresh and soothing melodies with its signature guitar hooks in the drop, definitely a realisation of the meaning brand new. This is one of those tunes where you want to rock the volume up to ear breaking decibels in the car, get the windows down and just cruise all day long.


Lawrence A. Moore, Jr., 24, of Syracuse, passed away Saturday. Born and raised in Syracuse, he was a life resident of the area.
Survivors include daughter, Lawriayah Moore of Syracuse; her mother, Helen Morales of Syracuse; father, Lawrence A. Moore, Sr.; sisters, Amaesha Williams and Aashiah Morales, both of Syracuse; brother, Shaolin Moore of Syracuse; several aunts and uncles.
Funeral services will be held on Thursday, April 26th, 2 p.m. at St. Lucy's Church. Burial will follow in Oakwood Cemetery. Calling Hours: Thursday, April 26th, 12-2 p.m. at St. Lucy's Church, 432 Gifford Street, Syracuse.


29-30 Eighth Annual Virginia GIS Conference. Holiday Inn Hotel and Conference Center. Hampton Va.Visit www.institute.virginia.edu/vapdc/gis.htm.
29-Oct. 2 Kalthoff Fall 97 EDM/PDM User Forum. Omni Rosen. Orlando Fla.Sponsored by Kalthoff International this forum will present the latest in engineering information technology.Call (513) 794-3367 Web www.kalthoff.com.30 Ergo Expo '97. L. Douglas Abram Federal Building. St. Louis.This event is sponsored by the Federal Business Council Inc. and hosted by the Agriculture Department's Midwest TARGET Center.Call David Little or Jill Barrett at (314) 539-3800.
30-Oct. 1 SpeechTEK '97 Conference and Exhibition. New York Hilton and Towers. New York.This is the only East Coast conference and exhibition dedicated to voice recognition.Call (800) 777-8774 e-mail info@speechtek.com Web www.speechtek.com.
30-Oct. 1 Federal Webmaster Leadership Training Course. Crystal City Marriott. Arlington Va.The General Services Administration is offering this training which is designed to help people develop an awareness of policy and technical issues trends and problems related to the implementation of the Internet and related technologies within the federal government.Call Leads Corp. at (703) 769-5650 World Wide Web www.leadscorp.com/webmaster.html.
1-3 Government Business and Education Tech Expo '97. Los Angeles Convention Center. Call (916) 852-1167 or e-mail Lea2skip@aol.com.
5-7 Industry Advisory Council's Executive Leadership Conference. Richmond Marriott.Call Mary Ellen Geoffroy at (703) 218-1965 for more information or call (804) 643-3400 to register.
6-7 Strategic Channel Marketing to Federal Agencies and Prime Contractors. Marriott Suites. Herndon Va.Call (703) 759-7216 Web www.govt-sales.com.
-- Please fax Agenda items to Colleen Kelly at (703) 876-5126. Items are edited for space.


You can sort the results by age group and/or gender as well as searching for individual names.
Congratulations to our overall winners and age group place winners!!
2015 Run Race results online kauderraceresults.com.
1-mile Fun Run results are at the bottom of the page.
2014 Run Luly race results online at racetime.info.


The .biz domain is made for "genuine business or commercial utilization". Distinguish your online business by preferring .Biz extension available at low price. Coupon Code offers for .Biz will make your pocket happy and offers a chance to differentiate your business from others. .Biz domain offers a separate business identity over the web.
Grab .biz extension at just 11.99/yr.
Grab .biz extension at just £14.99/yr.


text:
Q: How to change assigned letter for Ephemeral drives automatically? I have an AWS Windows box (Windows 2008 R2) with the following disks:
C:\ 60 Gb (EBS)
D:\ 200 Gb (EBS)
Y:\ 40 Gb (Ephemeral SSD)
Z:\ 40 Gb (Ephemeral SSD)

Every time it boots I change ephemeral drives to D: and E: and EBS drive to Z:. Some times after a reboot ephemeral drives are not mounted. I really need to be this way as I have a program that has its data in D: drive and cannot be changed. I want to benefit of extra speed of Ephemeral SSD.
What is the best way of automating this in AWS?
I thought of making a PowerShell script that uses WMI to change drive letters on boot (following this), but I am not sure if this is the best option. Does AWS has some way to control/configure ephemeral drives?

A: This can be configured using the EC2ConfigService Settings application that's included on the standard Windows instance builds (or available separately from the AWS Developer Tools site.)
After launching your instance, select Start -> All Programs -> EC2ConfigService Settings.
Access the 'Storage' tab, check the box for 'Map volume names to drive letters.' and then click the 'Mappings' button to set up the drive letters.  Use the default volume name assigned to the ephemeral drive.  After each reboot, the drive will have the letter that you specified.

A: You may find that this: http://www.uwe-sieber.de/usbdlm_e.html does the trick.  It was designed to deal with USB drives wandering around the drive letter space.  However it can deal with arbitrary storage devices.
Simply copy the contents of the zip to say C:\usbdlm and then run up usbdriveinfo.exe.  This will give you device strings that you can use to uniquely identify the SSDs.  Be careful though - those strings may change per invocation of the VM.
You then create entries in the .ini file to force those IDs to a particular drive letter.
After a double RDP session - here's an example .ini file from one of my systems.  It's for USB but you should get the idea.  The first driveletters block makes those deviceids get U:, the second block is how to "remark out" a block safely and the third one makes all other USB disks end up as X or Y as a fallback default.
I would imagine that you wont see USB IDs for your disks (!) but you should find something that you can use in usbdriveinfo.  Have a look at the docs, you can use part matches for IDs and also regexs I believe.
[Settings]
CheckLettersOnStartup=1
LoadUsbdlm_Usr=3
VolumeReadyMaxWait=20000
NoMediaNoLetter=0
WriteLogFile=1
LogFile=C:\USBDLM\_USBDLM.LOG
LogLevel=3

[BalloonTips]
Enabled=1
Timeout=6000

; To get the DeviceID, run usbdriveinfo.exe
;    Select the Drives tab
;    Find the Disk (parent device, not the volume) in left hand pane
;    Find  "USB DevID    ="
;    Copy the data after the = sign
;    Paste it into the relavent section here under Driveletters
;    net stop usbdlm  and then net start usbdlm

[DriveLetters1]
Letter=U
DeviceID1=USB\VID_0411&PID_0170\00101007000C8B640
DeviceID2=USB\VID_0411&PID_0170\00101007000A104B0
DeviceID3=USB\VID_0411&PID_0170\00101007000A0C770
DeviceID4=USB\VID_0411&PID_0170\00101007000915F00
DeviceID5=USB\VID_0411&PID_0170\001010070008146D0
DeviceID6=USB\VID_0411&PID_0170\00101007000915F50
DeviceID7=USB\VID_0411&PID_0170\00101007000716A90
DeviceID8=USB\VID_0411&PID_0170\00101007000A0C5F0

[xxxx DriveLetters2]
Letter=V

[DriveLetters]
Letters=X,Y


Awesome experience all round in every aspect. Perfect location with fish right at your doorstep. Everything about this place is perfect. Had a great time and outstanding professional service from all.
This trip is ideal for experienced or novice anglers alike, looking for an all-round adventure targeting a wide variety of blue water sport fish. Target species include yellowfin tuna, wahoo, mahi mahi, sailfish and marlin. You'll also taste what it takes to hook and land dogtooth tuna and giant trevally. This adventure focuses on casting and jigging with some trolling thrown in making this a truly interactive adventure. There is nothing better than the adrenalin rush of big fish engulfing your surface popper, stick bait or jig!
On this fishing trip, you'll get to fish aboard our U.S. built EdgeWater 32 Centre Console Sport Fishers which offer the perfect platform for casting and jigging. The EdgeWater 32 are the biggest boats in it's class, offering unrivalled space and comfort for up to 5 anglers. For larger groups, multiple boats are available. The twin 250hp Evinrude E-Tecs will get you to the fishing grounds fast, maximising each fishing day. The unsinkable, sea going capability is unmatched offering you a soft comfortable ride. There are enough rod holders and storage for all your tackle, and ours, so no tripping over gear.
*Prices based on a group of 5 anglers. Enquire to receive a tailored package quote based on the number of anglers in your group.


how to build you own dredge suction nozzle,DREDGE SUCTION NOZZLESSuction nozzles can easily be home made , with some ingenuity & a few tools. . up to 6", you can purchase exhaust pipe with that outside diameter (OD) Power . power tube must have a slot cut that will fit the jet flush to the full length of the 5.how to build you own dredge suction nozzle,4. The Plain Suction Dredger ...................erosion of a jetstream and/or the suction flow of the dredge pump and the breaching process ... If both the critical velocity and the average concentration have been determined, .. If the pressure at the nozzle is 500 kPa and the jet nozzle has a diameter of 0.3 m e and a .. The dredger is build under the classification of the.an evolution in the design of the deepest mining dredge - DSC Dredgemanufacturing process to build a mining dredge that spans the length of a . dredge with suction jet assist and hydraulic dredge with submersible pump. .. Hoisting the ladder from two points over 15m (50 ft) apart presented its own challenge. .. the deck would divert jet water from the digging nozzles located at the tip of the.
GENERAL: To conduct commercial suction dredge activities in the State of Alaska, . Do not assume that you have all of the permits you required to have. . plans before commencement of field operations (for DNR-Mining, the APMA is ... **Mechanical operations and dredges with nozzles greater than 10 inches must.
DRAFT Scoping Report for the Suction Dredge Permit Program .. received in 2007 will be considered as part of the current effort and have been incorporated into this report. . California Retired Teachers Association Building ... Unless you .. An 8 inch dredge is the norm for all significant rivers and 6 inch nozzle sizes for.
Suction nozzles can easily be home made , with some ingenuity & a few tools. . up to 6", you can purchase exhaust pipe with that outside diameter (OD) Power . power tube must have a slot cut that will fit the jet flush to the full length of the 5.
Nov 14, 2009 . or if it was placed in the nozzle head, such as with the suction . The term is derived from the power-jet intake in the dredge suction . amount of material build-up and water flow across the sluice itself, it will . Another is that you can work anywhere out in a waterway in the . have limitations on dredge size.
For extremely shallow water conditions, a suction nozzle is recommended. We have improved the standard Power Jet and created a more efficient, easy to use and over-all superior jet! .. Our 4 inch dredge has all of the features you would expect from a larger ... building for the diamond field dredges in Africa. The gold.
erosion of a jetstream and/or the suction flow of the dredge pump and the breaching process ... If both the critical velocity and the average concentration have been determined, .. If the pressure at the nozzle is 500 kPa and the jet nozzle has a diameter of 0.3 m e and a .. The dredger is build under the classification of the.
The older commercial-type dredge was usually of two-piece con- .. build a second generation system putting .. onto the dredge with the suction end . smaller than the inside nozzle diameter .. cussion we will neglect it, as it will have.
i have been dredging for the past twenty years. i do not believe we .
Apr 28, 2011 . DFG should not limit the number of suction dredging permits: There is no . Allowing larger-sized nozzles after site inspection: If a dredger wants to .. We have always had our permits in place, plans of operations, and bonds.
Jun 29, 2017 . Maximum Suction Intake Nozzle . Power sluice/suction dredge combination. 9. Figure 6. .. equipment) Plans of Operations generally take a minimum of 60 to 90 . not you have located a mining claim However, you should.
Sep 1, 2009 . Number of Mineral Collection Permits and Notices for Plans to Conduct ... general, dredges equipped with small‐diameter nozzles have much less .. recruitment of fry which have come from redds on tailings if we are to.
Smith Suction Dredge - NOIS - 2017-07-08 Final - Advocates for the .
May 8, 2017 . 25,000 supporters, many of whom have a deep personal interest in . impacted by your suction dredge mining and discharges. . dredges with intake nozzles of five inches in diameter or less and with .. Ariel Rios Building.
The Cutter Suction Dredge Cost Estimation Program (CSDCEP) estimates the . Dewatering wheels and hydrocyclones have been identified as .. and bends, but when you are dealing with thousands of feet of pipe, the frictional .. equipment were determined using Means Building Construction Cost Data (Means, 1996).
FINAL REQUEST FOR PROPOSALS DESIGN-BUILD PROJECT .
Oct 3, 2013 . parties who have requested they be placed on the Invitation to Bid mailing list, informing ... Design-Build of 12" Cutter Head Suction/Discharge Dredge .. be sized to allow for maximum water flow to prevent loss of pressure at the final nozzle. .. procurement, you attest, for your entire organization and its.
Arkansas River, Point Bar Placer Area Notification - Bureau of Land .
In stream (i.e. suction dredging) is limited to a 4-inch intake nozzle and a motor not to exceed 8hp in total size. . You must not camp longer than 14 days in any 30 . After the 14 days have . Construction of diversion ditches, road building.
dredging are poorly known these are identified in the guidelines and addressed through .. should be avoided as mud build-up on ropes .. cutter suction dredge is usually the preferred option ... If yes, have you made an application for a planning permit Yes/No .. array of water jet nozzles are lowered to penetrate.
A, Single-lift dredge, 40-foot ground at Atlin, coarse gold; B, . Buckets, Atlin ... of building and maintaining ditches, flumes, and storage reservoirs for .. nishing such data concerning your placer and the methods employed in operating it .. By use of 8-inch cotton pressure-hose and nozzle through 20-inch flume: 1,600.
As a part of our Expansion Plans, we have also begun the manufacturing of Acid Transfer Rubber. Hoses, Dredging (Suction & Discharge) Hoses, Rubber Expansion Joints / Bellows and other moulded .. Intel & Flash Nozzles. Pipes & Fittings.
How do we create space to accommodate growing populations? . While this trend might have at one time seemed insurmountable, from the . possible by a deep-suction dredging technique that opened up possibilities . the Maldives, new land has been claimed from the sea to build a new island . with a double nozzle.
operation u vhich may be partly attributed to the road -- seem to have created a trace . Napoleon Creek. The mining is done with nozzles; a dam has been .. June- 9 - We visited Lost Chicken X11, the suction dredge . L'urner plans to build.
Mom Luang Pin Malakul Centenary Building . 1 Excavation: When do you Decide to Use Intrusive . Have knowledge of different intrusive techniques and be able to discuss their ... Some sites are also prone to fishing or nearby dredging ... less steel suction nozzles and a system for ease of handling, such as an arm loop.


Moving Minds is a strategic marketing & web consultancy focused on generating more revenue, demand and ROI for clients around the world.
Marketing For Movers Longboat Key, Fl FNGLA represents Florida"s environmental horticulture industry which generated .08 billion total output sales in 2015 and directly employed 232,000 people. Marketing For Title Companies Ormond Beach, Fl Advertising Agency Tampa, Fl Read detailed client reviews of leading advertising and marketing agencies in Tampa. … Ad Partners is a full service advertising agency in Tampa, Florida.
Marketing For Movers South Daytona, Fl Marketing For Chiropractors Seminole, Fl Marketing For small business neptune Beach, Fl Neptune Beach, fl. local community home values, Housing Market & Schools. Businesses Near Neptune Beach, fl. top-ranked businesses. vitality Bowlscoffee shop.
Jacksonville Septic Tank Pump Out St Augustine St Augustine Movers . Need to move to St. Augustine … marketing agency niceville, Fl Homes & Land is an all-inclusive real estate web site offering thousands of luxury home listings and houses for sale in over 300 markets throughout the US and CA.


text:
Q: Local version of Google Maps API Do you guys know if there is a version of the Google Maps API for C++ which works using local maps rather than having to connect to a Google server?
The application is the plotting of GPS positions in an area with no internet coverage.
Thanks in advance.

A: As an alternative for Google Maps, you might want to have a  look at OpenStreetMap.
(See also the usage and software sections on Wikipedia)

A: You can download and store map tiles (png files) using the google maps static API, and then reread those once stored images without reconnecting to the server. You'll have to write the whole download and management stuff yourself (i.e. using boost::asio for download etc. - i don't know of such a library), and you probably need to acquire a Google premier license, as google strongly restricts the anonymous usage of the static api. But technically thats possible.


text:
Accumulation and fate of nano- and micro-plastics and associated contaminants in organisms
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 111, February 2019
Following a decade of research on the environmental impacts of microplastics, a knowledge gap remains on the processes by which micro and nanoplastics pass across biological barriers, enter cells and are subject to biological mechanisms. Here we summarize available literature on the accumulation of microplastics and their associated contaminants in a variety of organisms including humans. Most data on the accumulation of microplastics in both field and lab studies are for marine invertebrates.
Sustainable consumption and production; Chemicals and waste; Biodiversity and ecosystems; Health and wellbeing, Global
Microplastics in the environment: A review of analytical methods, distribution, and biological effects
Microplastics (MP) (
Oceans & Seas; Sustainable consumption and production; Chemicals and waste; Data & Analytics
A potpourri of microplastics in the sea surface and water column of the Mediterranean Sea
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 110, January 2019
This review provides insight into the abundance, origin, distribution and composition of MPs in the sea surface and water column of the Mediterranean Sea. Literature data on MP particles on the sea surface showed an evident heterogeneous distribution and composition, with marked geographical differences between Mediterranean sub-basins. A standardized protocol for water sampling, extraction and detection of plastic debris is strongly recommended.
Data & Analytics; Oceans & Seas; Sustainable consumption and production; Biodiversity and ecosystems
Micro- (nano) plastics in freshwater ecosystems: Abundance, toxicological impact and quantification methodology
Plastics entering the environment will persist and continue to degrade and fragment to smaller particles under the action of various environmental factors. These microplastics (MP) and nanoplastics (NP) are likely to pose a higher environmental impact, as well as they are more prone to adsorb organic contaminants and pathogens from the surrounding media, due to their higher surface area to volume ratio. Little known on their characteristics, fragmentation, distribution and impact on freshwater ecosystems.
When defining boundaries for nexus analysis, let the data speak
Elsevier, Resources, Conservation and Recycling, Volume 137, October 2018
A policy and research agenda has emerged in recent years to understand the interconnected risks natural resource systems face and drive. The so-called 'Food-Energy-Water' (FEW) nexus has served as a focal point for the conceptual, theoretical and empirical development of this agenda. This special issue provides an opportunity to reflect on whether natural resource use, as viewed through the FEW-nexus lens, provides a useful basis for guiding integrated environmental management.
Data & Analytics; Information for integrated Decision-Making & Participation; Sustainable consumption and production; Biodiversity and ecosystems, Global
Modelling nutrient flows in a simplified local food-energy-water system
Elsevier, Resources, Conservation and Recycling, Volume 133, June 2018
Sustainable use and management of nutrients is an important issue for food, energy and water systems. The close connections between the three systems, reflected by the "nexus" concept, warrant an integrated approach to nutrients management across the nexus. In this paper, dynamic modelling of nutrient flows in a local food-energy-water system is presented and applied to a simplified case study.
Sustainable consumption and production; Water and sanitation; Food security and nutrition and sustainable agriculture; Desertification, land degradation and drought, Global
International policies to reduce plastic marine pollution from single-use plastics (plastic bags and microbeads): A review
Elsevier, Marine Pollution Bulletin, Volume 118, 15 May 2017
Marine plastic pollution has been a growing concern for decades. Single-use plastics (plastic bags and microbeads) are a significant source of this pollution. Although research outlining environmental, social, and economic impacts of marine plastic pollution is growing, few studies have examined policy and legislative tools to reduce plastic pollution, particularly single-use plastics (plastic bags and microbeads). This paper reviews current international market-based strategies and policies to reduce plastic bags and microbeads.
Oceans & Seas; Sustainable consumption and production; Chemicals and waste, Global
Use of monoethanolamine (MEA) for CO<inf>2</inf> capture in a global scenario: Consequences and alternatives
Elsevier, Desalination, Volume 380, February 15, 2016
Recent research on CO2 capture is focusing on the optimization of CO2 absorption using amines (mainly monoethanolamine-MEA) in order to minimize the energy consumption of this very energy-intensive process and improve the absorption efficiency. Process optimization is always required and this research is worth and necessary. However, the main concern arises when thinking of the overall process: solvent production, solvent use and regeneration, and environmental effects related to its use/emissions.
Chemicals and waste; Climate change; Sustainable consumption and production; Technology, Global
Present and future caloric refrigeration and heat-pump technologies
Elsevier, International Journal of Refrigeration, Volume 57, 1 October 2015
In recent years, several emerging technologies in the domain of solid-state physics have been investigated as serious alternatives for future refrigeration, heat pumping, air conditioning, or even power generation applications. These technologies relate to what is called caloric energy conversion, i.e., barocalorics, electrocalorics, magnetocalorics, and elastocalorics. Of these technologies, the greatest progress has been observed in the domain of magnetic refrigeration.
Climate change; Sustainable consumption and production; Technology, Global
Climate change influences on environment as a determinant of Indigenous health: Relationships to place, sea ice, and health in anInuit community
Elsevier, Social Science and Medicine, Volume 136-137, July 01, 2015
This paper contributes to the literature on Indigenous health, human dimensions of climate change, and place-based dimensions of health by examining the role of environment for Inuit health in the context of a changing climate. We investigated the relationship between one key element of the environment - sea ice - and diverse aspects of health in an Inuit community in northern Canada, drawing on population health and health geography approaches. We used a case study design and participatory and collaborative approach with the community of Nain in northern Labrador, Canada.
Climate change; Health and population, North America


text:
Paremhat 6 - Coptic Calendar - Paremhat 8

The seventh day of the Coptic month of Paremhat, the seventh month of the Coptic year. In common years, this day corresponds to March 3, of the Julian Calendar, and March 16, of the Gregorian Calendar. This day falls in the Coptic Season of Shemu, the season of the Harvest.

Commemorations

Martyrs

 The martyrdom of Saints Philemon and Apollonius
 The martyrdom of Saint Mary the Israelite

References

Days of the Coptic calendar

redpajama_set_name: RedPajamaWikipedia


text:
> CryptoCurrency
> Coins
> Seed CX Sets Sights on Stablecoins: Adds PAX, USDC & TrueUSD
Seed CX Sets Sights on Stablecoins: Adds PAX, USDC & TrueUSD
Wednesday, 15/05/2019 | 20:48 GMT by Aziz Abdel-Qader
The firm, led by Edward Woodford, now facilitates spot trading on the three stablecoins against the US dollar.
stablecoins // ToDo refactor when changes on back-end are ready
Seed CX
Join our Crypto Telegram channel
Chicago-based crypto exchange Seed CX, which allows its clients to access a broader range of cryptocurrency markets and its key Liquidity Liquidity The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash. Notably, liquidity surmises a retention in market price, with the most liquid assets representing cash.The most liquid asset of all is cash itself.· In economics, liquidity is defined by how efficiently and quickly an asset can be converted into usable cash without materially affecting its market price. · Nothing is more liquid than cash, while other assets represent Read this Term venues, has added three stablecoins to its digital asset exchange. The newly-listed coins include PAX, USD Coin, and TrueUSD.
The firm, led by Edward Woodford, now facilitates spot trading on the three stablecoins against the US dollar. They are planning on offering more trading pairs with the Euro and other fiat currencies in the near future. Seed CX also has plans to provide a market for crypto derivatives, regulated by the US Commodity Futures Trading Commission (CFTC).
The institutional platform provides margin trading on the new pairs with up to 10x leverage but uses larger tick and contract sizes and tighter quote requirements than retail platforms. More specifically, each stablecoin will trade with a minimum order size of one coin, and a tick size of 0.0001.
Seed CX aims to lure Wall Street
With multiple currencies supported and several pairs traded, Seed CX is obviously gearing towards operating in the crypto space more like a Forex Forex Foreign exchange or forex is the act of converting one nation's currency into another nation's currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world's largest tradi Foreign exchange or forex is the act of converting one nation's currency into another nation's currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world's largest tradi Read this Term broker, albeit focused on the institutional segment.
XRP: Long-Term Investors Are Betting Big on Crypto Asset
Earlier, in January, Seed CX announced the launch of spot trading for institutional investors. Also last week, the company has partnered with TradAir to allow its customers to leverage Seed CX's suite of OTC trade settlement services that were recently launched by its custodian subsidiary, Zero Hash.
Commenting on the news, Seed CX co-founder and CEO Edward Woodford said: "We are excited to introduce three of the major stablecoins as tradable pairs on our secure and regulated trading platforms. We are also pleased that the stablecoins can be used as collateral for margin trading. Stablecoins are important in the ecosystem as they increase the velocity of movement of fiat equivalent assets 24/7 and had been requested by a number of our trading participants."
Tory Reiss, the co-founder of TrustToken, added: "Giving institutions that can only trade on a regulated digital assets exchange access to TrueUSD will further allow for the adoption of our first, fiat-backed stablecoin. We are excited to see Seed CX support TrueUSD, and look forward to collaborating with them over the coming months and years."
About the Author: Aziz Abdel-Qader


text:
YoungTri connects young triathletes worldwide.
Of all levels. Youth. High School. College. And Beyond.
Through our daily blog, weekly newsletter, member meetups, ambassador program, and more.
Join the community of YoungTri members from every state and 48 countries.
… and join the YoungTri Members-Only Facebook Group afterwards!
YoungTri has been featured in a Keynote Address at the Triathlon Business International Conference, Fox News, MTV in USA Triathlon Magazine's cover story, among others!
Caitlin Begg
Caitlin Begg founded YoungTri on January 8th, 2011. As an avid triathlete for seven years (now ten!), Caitlin wanted to take her love of the sport to the next level.
Caitlin is a sophomore at Harvard University and completed her first Ironman (Lake Placid) this summer at age 18. She did her first 70.3, the inaugural Rev3 race, at age 14. She is involved with Swim Across America, a charity dedicated to raising money and awareness for cancer research, prevention and treatment through swimming related events. She runs her own Swim Across America event in her hometown each summer and "Team Begg" was named National Team of the Week. Caitlin has raised over $75,000 to date for Swim Across America.
Caitlin is a Co-Captain of the Triathlon Team at Harvard.
As a former contributor to Lava Magazine online and member of the Glen Rock Triathlon Club, Caitlin has experienced triathlon's growth over the past ten years. She founded YoungTri to connect young triathletes worldwide.
Contact Caitlin: caitlin@youngtri.com
Kaitlin Adams
Kaitlin is a sophomore at Boston College where she is studying business. As a South Florida native, she started competing in triathlons at age 15 with her dad. She loves running and hopes to participate in the Boston Marathon in the next three years. In her spare time Kaitlin enjoys photography, playing basketball, going to the beach, and traveling the world.
Contact Kaitlin: kadams@youngtri.com
Patrick LaBrode
Patrick is a sophomore swimmer at The University of Texas! He has been swimming competitively since he was in kindergarten, and has never stopped! Patrick has also been doing triathlons since 2008. He has competed in over 15 triathlons, including Junior Nationals in 2011. He has taken a break from triathlons for college swimming, but intends to jump right back into the triathlon field after his collegiate career. When Patrick isn't at swim practice or competing, he likes to surf, longboard, read, sleep, watch TV and just relax with friends.
Contact Patrick: plabrode@yahoo.com
Alex Werden
Alex is a member of the West Point Triathlon Team and has been on the YoungTri Board since 2011.
contact: awerden@gmail.com
TJ Begg
TJ Begg – Comedic contributor
TJ is a junior at Glen Rock High School.
Caitlin Begg: caitlin@youngtri.com
Kaitlin Adams: kadams@youngtri.com
Patrick LaBrode: plabrode@yahoo.com
Aaron Lidawer: alidawer@wharton.upenn.edu
Alex Werden: awerden@gmail.com
jaredrexclark
Hook'em!!!
Leave a Reply to jaredrexclark Cancel reply


text:
The 2005 Wagner Seahawks football team represented Wagner College in the 2005 NCAA Division I-AA football season as a member of the Northeast Conference (NEC). The Seahawks were led by 25th-year head coach Walt Hameline and played their home games at Wagner College Stadium. Wagner finished the season 6–5 overall and 3–4 in NEC play to place in a three-way tie for third.

Schedule

References

Wagner
Wagner Seahawks football seasons
Wagner Seahawks football


○ 'Gona Re Zou' means place of elephants.
○ This concession is 300 000 hectares that borders on the Gonarezhou National Park of Zimbabwe and on the Kruger National Park of South Africa.
○ This area produces good quality elephant, buffalo, leopard and sable trophy's. Elephant of 70-90 pounds can be found often in this area and buffalo of over 40 inches are regularly taken here.
○ This area is ajoined to the Hwange National Park, the countries largest park.
○ This area is approximately 300 000 hectares. The lodge is less than an hours drive from the Victoria Falls airport.
○ This area is well known for its massive leopard, full maned lion and top quality sable.
○ Other species on quota are elephant, buffalo, eland, waterbuck, kudu, zebra, reedbuck, impala and warthog.
○ Binga is situated on Lake Kariba and is the perfect place to hunt elephant, hippo and crocodile.
○ This is a 4 star lodge and is well suited for the whole family. 4 meter crocodiles are a realistic expectation in this area.
○ This area also offers excellent tiger fishing.
○ Situated in the Western region of Zimbabwe close to the Botswana border and close to the Hwange national park.
○ This area is arguably one of the best for large dark maned lions and also offers good buffalo and sable hunting.
○ Other species available here are; tuskless elephant, giraffe, waterbuck, eland, kudu, zebra, hyena, warthog, impala, side striped jackal, black backed jackal, civet, duiker and baboon.
○ Situated in the south-east of Zimbabwe, close to the Gonarezhou area and north of South Africa's Kruger national park, this area has very good buffalo and hippo hunting.
○ Often one can stumble in lone hippo bulls on land which makes for an exciting hunt.
○ Other species available are; giraffe, eland, zebra, wildebeest, bushbuck, hyena, bushpig, grysbok, impala, duiker and genet.
Over and above trophy fees, daily rates and transfer costs.
○ Firearm permits are issued upon arrival at Harare, Victoria Falls or Buffalo Range.
○ We provide you with an invitation letter once the daily rates are paid.
○ No semi-automatic rifles are permitted.
○ Handgun hunts require special permits.
○ Bow hunts require special permits.
○ We do have rifles available to hire.
For all hunts, hunting on a 2 on 1 basis deduct $50/day per hunter.
Non hunter daily rates $350/day.