After looking at your question, I reasoned you were writing this in python. Here's my code, I hope it helps!
while True:
v1 = input("Enter value of first variable (T/F) ")
v2 = input("Enter value of second variable (T/F) ")
v3 = input("Enter value of third variable (T/F) ")
print("v1: {}, v2: {}, v3: {} = T".format(v1, v2, v3) if v1 == "T" and v2 == "T" or v1 == "T" and v3 == "T" else "v1: {}, v2: {}, v3: {} = F".format(v1, v2, v3))
Answer:
The code to this question can be given as:
Code:
public interface Test //define interface
{
public abstract Duration getDuration(); //define method
getDuration.
public abstract Result check(int a);
//define method
check .
public abstract double getScore();
//define method getScore.
}
Explanation:
In the above code, we define an interface that is "Test" inside an interface, we define three methods that can be defined as:
- First, we define a method that is "getDuration" that method returns Duration as an object.
- Second, we define a method that is "check" this method accepts an integer parameter that is a and return Result.
- The third method is "getScore" this method will return a double value.
<span><span>1.)From the Insert tab, select the Shapes command. A drop-down menu will appear.
</span><span>2.)Select the desired shape
3.)</span></span>Click and drag<span> the slide to create the shape. You may need to move or resize the shape so it points to the desired part of the image.
4.)</span><span>f you want your callout to contain text, start typing while the shape is selected.
5.)</span><span>From the </span>Format<span> tab, you can use the options in the </span>Shape Styles<span> group to customize the appearance of the shape. You can also adjust the font from the Home tab</span>
Answer:
accounting system
Explanation:
The most common response variable modeled for cropping systems is yield, whether of grain, tuber, or forage biomass yield. This yield is harvested at a single point in time for determinate annual crops, while indeterminate crops and grasslands may be harvested multiple times. Although statistical models may be useful for predicting these biological yields in response to some combination of weather conditions, nutrient levels, irrigation amounts, etc. (e.g., Schlenker and Lobell, 2010, Lobell et al., 2011), they do not predict responses to nonlinearities and threshold effects outside the range of conditions in data used to develop them.
In contrast, dynamic cropping and grassland system models may simulate these biological yields and other responses important to analysts, such as crop water use, nitrogen uptake, nitrate leaching, soil erosion, soil carbon, greenhouse gas emissions, and residual soil nutrients. Dynamic models can also be used to estimate responses in places and for time periods and conditions for which there are no prior experiments. They can be used to simulate experiments and estimate responses that allow users to evaluate economic and environmental tradeoffs among alternative systems. Simulation experiments can predict responses to various climate and soil conditions, genetics, and management factors that are represented in the model. “Hybrid” agricultural system models that combine dynamic crop simulations with appropriate economic models can simulate policy-relevant “treatment effects” in an experimental design of climate impact and adaptation (Antle and Stockle, 2015).
Inspect them and make sure that they are exact copies then delete one if they are the same.
