Dash format precision

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Dash format precision

Video file created for high quality video playback on sites such as YouTube and Netflix; contains HTTP based segments of media content, such as.

dash format precision

MP4 files, that are encoded with different bit rates in order to keep a video playing through changing network conditions. When clientslike web browsers, play back the DASH encoded content, they select the DASH file segments with the appropriate bitrate to avoid rebuffering and stalls.

They choose the bitrate based on the current performance of the network, e. PART file because it is incomplete. The file may need to be combined with other DASH files in order to be played. File created by Dashlane, a program used for password management, saving confidential data, and making secure online payments; contains user data and other information which the user stores securely in Dashlane.

DASH files are created automatically by the Dashlane program itself. They may also be manually exported by the user for the backup purposes. All file types, file format descriptions, and software programs listed on this page have been individually researched and verified by the FileInfo team. If you would like to suggest any additions or updates to this page, please let us know.

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Dashlane Profile. RealNetworks RealPlayer Cloud.This cartoon gives increasingly precise latitude and longitude coordinates for a location on the planet Earth. However, a given coordinate covers a square region of land, and thus leaves some ambiguity; thus, greater precision requires an increasing count of decimal points in your coordinates. This comic uses this information to roughly identify how precise a given coordinate length might be.

The increasing precision of coordinates in this cartoon are similar to the increasing magnification in the short documentary "Powers of 10," which can be found here. Also parodied in Powers of One. The coordinates at The sixth entry in the table, with seven digits of precision, includes the caveat that, while your coordinates map to areas small enough on the Earth's surface to indicate pointing to a specific person in a room, "since you didn't include datum information, we can't tell who".

This is a reference to the geodetic datum or geodetic system — different ways of dealing with the fact that the earth is neither perfectly spherical nor perfectly an oblong ellipsoid. The various datums do not make much difference at six digits of precision, but at seven, there is enough skew depending on which system is in use that the person in a room you are referring to with the coordinates is ambiguous. It is unstated, but the remaining lines in the table with ever-greater precision suffer from this same issue and are equally ambiguous without datum information.

The final entry, with seventeen digits of precision, suggests that either the user is referring to individual atoms in the much-larger-scale whole-Earth coordinate system, or perhaps more likely has not bothered to format the values from the GPS module for viewing in the software UI in any way whatsoever, resulting in a value that is meaninglessly precise because the measurement wasn't that accurate to begin with.

Even if the value is accurate, locating individual atoms by coordinates is not actually useful in most cases, and the motions of multiple systems within our physical world continental drift, subtle vibrations, Brownian motionetc.

For the decimal places past the 5th on the latitude, the digits given are actually the first part of the decimal expansion of the constant e 2. The title text references how at sufficiently small distances, our understanding of reality itself begins to break down. Smaller than the Planck lengthwhich is more than a quintillion times smaller than the diameter of a proton, the ideals of Euclidean geometry no longer apply and space itself may be composed of a quantum foam where the very geometry of spacetime itself fluctuates, meaning coordinate systems based on an assumption that space doesn't change would no longer work.

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The actual number of longitude digits needed to identify a point to a particular precision depends on its latitude. Near the poles, you need fewer longitude digits than at the equator — starting with one digit fewer at around lat. The number of latitude digits for some particular accuracy stays essentially the same everywhere. Other datums may be shifted by tens or even hundreds of meters yardsmaking geodetic datum specification necessary for less precise coordinates as well.

Finding Waldo on a page using satellites was also referenced in To track atoms, however, one needs very sensitive and expensive equipment with a severely limited range according to our current understanding of science and technology. Using a global-scale coordinate system when a micrometer-scale would fit much better is either an abuse of the system and a great waste of memory and computing power, or it means that a significant portion of the Earth's surface has been blanketed by quantum microscopes, which would be an abuse and a waste of many other things as well.

The coordinates seem to show a NASA building, so in the end you're still soing something space related. The atom-level coordinates are obtained by appending digits of e and pi to the Rocket Garden coordinates. Ichoran talk1 July UTC. I always find it very funny to see all those decimals. Regular GPS devices have an uncertainty of 3 meters if there is no interference from trees, buildings or whatever.

That puts you at about 4 to 5 decimals I guess. Palmpje talk1 July UTC.

Floating point number(single precision and double precision)

So combining this comic withis Randal suggesting he'll be at the Rocket Garden on July 28th much as he did in ? Regrettably, there are two dimensions missing, Z and T. T is only relevant for dynamic objects, but there again, the Americas are going West at a measurable rate! The seventh row is likely a reference to comic number where two stick figures try to find waldo via satellite.The formatting characters in a FORMAT phrase determine whether the output of numeric data is considered to be monetary or non-monetary.

Numeric information is considered to be non-monetary if the FORMAT phrase does not contain any currency or dual currency symbols. The value of GroupSeparator in the SDF is copied to the output string to separate groups of digits to the left of the radix separator, according to the grouping rule defined by GroupingRule.

The comma is interpreted as the grouping character regardless of the value of GroupSeparator in the SDF. The period is interpreted as the radix character, regardless of the value of RadixSeparator in the SDF, and is copied to the output string. Can appear at the beginning or end of a format string, but cannot appear between Z or 9 characters. One sign character places the edit character in a fixed position for the output string. If two or more of these characters are present, the sign floats moves to the position just to the left of the number as determined by the stated structure.

Repeated sign characters must appear to the left of a combination of the radix and any 9 formatting characters.

dash format precision

If a group of repeated sign characters appears in a FORMAT phrase with a group of repeated Z characters, the group of Z characters must immediately follow the group of sign characters. For example, --ZZZ. One trailing sign character can occur to the right of any digits, and can combine with B.

The trailing sign character for a mantissa cannot appear to the right of the exponent. Internally, the V is recognized as a decimal point to align the numeric value properly for calculation. Because the decimal point is implied, it does not occupy any space in storage and is not included in the output. Translates to blank if the digit is zero and preceding digits are also zero.

ZZ print only blanks if the number is zero. Repeated Z characters must appear to the left of any combination of the radix and any 9 formatting characters. The characters to the right of the radix cannot be a combination of 9 and Z characters; they must be all 9s or all Zs. If they are all Zs, then the characters to the left of the radix must also be all Zs. If a group of repeated Z characters appears in a FORMAT phrase with a group of repeated sign characters, the group of Z characters must immediately follow the group of sign characters.

For more than one occurrence of a character, where CHAR can be:.

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If n is an integer constant, the n notation means that the character repeats n number of times. For the meanings of I and F, see the definitions later in this table.

The number of characters needed to display the integer portion of numeric and integer data. CHAR I can only appear once, and is valid for the following types:. The value of I is resolved during the formatting of the numeric data. The value is obtained from the declaration of the data type. The number of characters needed to display the fractional portion of numeric data.For example, the number Both precision and scale are in decimal digits and optional.

If you skip the precision and scale, Oracle uses the maximum range and precision for the number. The above form represents a fixed-point number with precision p and scale of zero, which is equivalent to the following:. Oracle allows the scale to be negative, for example the following number will round the numeric value to hundreds. However, if the number exceeds the scale s, Oracle will round the value. The following example causes an error because the inserted value exceeds the precision defined for the column.

In this example, the value was rounded up which resulted in a number that exceeded the precision defined for the column. Oracle contains a number of aliases that you can use for define numeric columns as shown in the following table:. They are not the real data types. The precision is the number of digits in a number. It ranges from 1 to The scale is the number of digits to the right of the decimal point in a number.

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It ranges from to The second value was rounded down and the third value was rounded up because the column accepted only numbers with two decimal point places.

Was this tutorial helpful? Yes No. Previous Oracle Data Types. About Oracle Tutorial OracleTututorial. Programming Interfaces Python Oracle.This article describes how you can format the decimal values that appear in fields on table, pages and reports. For example, you can change how the data appears in a Cue on the Role Center page. These properties work together to enable you to specify the following:.

Oracle NUMBER Data Type

When a field is used on a page or report, you can set the AutoFormatType and AutoFormatExpr properties directly on the page field or report field columnor you can set them on the underlying table field. If you specify the properties on the table field, then the format applies wherever the field is used. Specifying the properties on the page or report field will only apply the format to the specific page or report.

If you specify the properties on the table field and the page or report field, then the settings on the page or report field take precedence. The settings for the AutoFormatTypeAutoFormatExpressionand DecimalPlaces properties will depend on the type of data that is displayed, for example, this could be currency amounts, unit amounts, simple decimals, or ratios. For the most part, the AutoFormatType property is the primary setting, which in turn determines the options for setting the DecimalPlaces and AutoFormatExpr properties.

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The following tables describes how to set each of the properties to achieve the format that you want. The precision determines the minimum and maximum number of decimal points for values.

dash format precision

The following table describes the standard formats that are available for the AutoFormatExpr property when the AutoFormatType property is set to You may also leave feedback directly on GitHub.

Skip to main content. Exit focus mode. These properties work together to enable you to specify the following: Display amounts and unit amounts in another currency. Specify the number of decimal places. Specify whether to display a thousand separator. Implementation overview When a field is used on a page or report, you can set the AutoFormatType and AutoFormatExpr properties directly on the page field or report field columnor you can set them on the underlying table field.

Setting up data formatting The settings for the AutoFormatTypeAutoFormatExpressionand DecimalPlaces properties will depend on the type of data that is displayed, for example, this could be currency amounts, unit amounts, simple decimals, or ratios.

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Use this configuration when you want to format the decimal value according the Standard Format 0 which is the default format with a specific number of decimal places. For example, if the value is a US decimal A blank currency code denotes LCY. Use this configuration when you want to format the data as an amount. For example, a sales order will use two decimals when the currency is defined as US dollar and no decimals when the currency is defined as IDR Indonesian rupiah.

This is similar to the previous configuration where the AutoFormatType property is set to 1except you use this configuration when you want to format the data as a unit amount. For more information, see Standard Formats.

Use SubType 1 to add the currency symbol and use the amount type precision. You use SubType 2 for unit amount precision. For example, a value of 0. The format string will be applied exactly as specified in the AutoFormatExpr property. Precision The precision determines the minimum and maximum number of decimal points for values.

Standard formats The following table describes the standard formats that are available for the AutoFormatExpr property when the AutoFormatType property is set to Yes No. Any additional feedback?

Skip Submit. Send feedback about This product This page. This page.When you create feature classes and tables, you select a data type for each field. Choosing the correct data type allows you to correctly store the data and will facilitate your analysis, data management, and business needs.

The data types explained in this topic include the data types available when creating a feature class or table with ArcGIS. The types are matched to the closest data type available in the DBMS. This process is referred to as data type mapping.

In this process, it is possible that the values will be stored in the DBMS as a different type, applying different criteria to the data attribute. As a result, the data type you see in the table or feature class properties in ArcGIS for Desktop may change from what you initially defined.

To learn more about the data type mapping process with your database management system, see Data types in the DBMS. Additionally, other data storage formats, such as shapefiles or dbf tables, have different data type limitations.

Be sure you know the data type and size limitations of your destination storage format when moving data between data storage types. You can store numbers in one of four numeric data types:.

dash format precision

In choosing the data type, first consider the need for whole numbers versus fractional numbers. If you just need to store whole numbers, such as 12 or 12, specify a short or long integer. If you need to store fractional numbers that have decimal places, such as 0. Secondly, when choosing between a short or long integer or between a float or double, choose the data type that takes up the least storage space.

This will not only minimize the amount of storage required but will also improve performance. If you need to store integers betweenand 32, only, specify the short integer data type, because it takes up only 2 bytes, whereas the long integer data type takes up 4.

If you need to store fractional numbers between The following table lists data types, their ranges, and storage requirements. The ranges listed are for file and personal geodatabases. Ranges differ slightly in databases and enterprise, workgroup, and desktop geodatabases. Numeric values without fractional values within specific range; coded values.

Numeric values without fractional values within specific range. Numeric values with fractional values within specific range. If you're specifying numeric fields for a table in a file or personal geodatabase, you need only specify the data type. If you're specifying numeric fields for a database or enterprise, workgroup, or desktop geodatabase, also specify the precision the maximum length of the field and scale the maximum number of decimal places.

Specifying the precision and scale allows you to restrict the range of values and number formats a field can accept, giving you greater control. For example, if you specify a float with a precision of 4 and a scale of 2, the field will accept If you try to enter On the other hand, if you specify a float with a precision of 5 and a scale of 3, the field would let you enter Data types and their possible precision and scale values are listed in the following table.

Use this table to help you choose data type, precision, and scale:. However, short integer columns can only store values within the range ofto 32, Therefore, you cannot store a value greater than 32, or less thanin a short integer field, even if you set the precision to 5.

ArcGIS field data types

There is no reason for you to specify a precision for short integer columns created in ArcGIS for Desktop on any database except Oracle. The following provides examples of number ranges and how you could store them in a database or enterprise, workgroup or desktop geodatabase:. Computers can only store a limited number of digits, depending on the storage space being allocated. Fields of data type double in databases and geodatabases can precisely store numbers that contain up to 15 digits only, because this is the longest number that can fit into 8 bytes of storage space.

Numbers that have more digits than this are rounded and stored in a format similar to scientific notation, making them approximate numbers only. For example, if you enter the digit number 12,, it is rounded and stored as the digit number 1.Single-precision floating-point format is a computer number formatusually occupying 32 bits in computer memory ; it represents a wide dynamic range of numeric values by using a floating radix point.

A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. IEEE specifies additional floating-point types, such as bit base-2 double precision and, more recently, base representations.

One of the first programming languages to provide single- and double-precision floating-point data types was Fortran. Before the widespread adoption of IEEEthe representation and properties of floating-point data types depended on the computer manufacturer and computer model, and upon decisions made by programming-language designers. In most implementations of PostScriptand some embedded systemsthe only supported precision is single.

This gives from 6 to 9 significant decimal digits precision. If a decimal string with at most 6 significant digits is converted to IEEE single-precision representation, and then converted back to a decimal string with the same number of digits, the final result should match the original string.

If an IEEE single-precision number is converted to a decimal string with at least 9 significant digits, and then converted back to single-precision representation, the final result must match the original number.

The sign bit determines the sign of the number, which is the sign of the significand as well. If the unsigned integer format is used, the exponent value used in the arithmetic is the exponent shifted by a bias — for the IEEE binary32 case, an exponent value of represents the actual zero i. The true significand includes 23 fraction bits to the right of the binary point and an implicit leading bit to the left of the binary point with value 1, unless the exponent is stored with all zeros.

The bits are laid out as follows:. The real value assumed by a given bit binary32 data with a given signbiased exponent e the 8-bit unsigned integerand a bit fraction is.

The single-precision binary floating-point exponent is encoded using an offset-binary representation, with the zero offset being ; also known as exponent bias in the IEEE standard. Thus, in order to get the true exponent as defined by the offset-binary representation, the offset of has to be subtracted from the stored exponent. In general, refer to the IEEE standard itself for the strict conversion including the rounding behaviour of a real number into its equivalent binary32 format.

Here we can show how to convert a base real number into an IEEE binary32 format using the following outline:. Conversion of the fractional part: Consider 0. To convert it into a binary fraction, multiply the fraction by 2, take the integer part and repeat with the new fraction by 2 until a fraction of zero is found or until the precision limit is reached which is 23 fraction digits for IEEE binary32 format. We see that 0. Not all decimal fractions can be represented in a finite digit binary fraction.

For example, decimal 0. Since IEEE binary32 format requires real values to be represented in 1. Finally we can see that: Note: consider converting Example 1: Consider decimal 1. From these we can form the resulting bit IEEE binary32 format representation of real number Example 2: Consider a value 0. We can see that: 0. From these we can form the resulting bit IEEE binary32 format representation of real number 0.

Example 3: Consider a value of 0. We saw that 0. Hence after determining a representation of 0.

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These examples are given in bit representationin hexadecimal and binaryof the floating-point value. This includes the sign, biased exponent, and significand. The x86 family and the ARM family processors use the most significant bit of the significand field to indicate a quiet NaN. We start with the hexadecimal representation of the value, 41Cin this example, and convert it to binary:.


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