Class DomainDto
Domain plus verification records and status
Inherited Members
Namespace: mailslurp.Model
Assembly: mailslurp.dll
Syntax
[DataContract(Name = "DomainDto")]
public class DomainDto : IEquatable<DomainDto>, IValidatableObject
Constructors
View SourceDomainDto()
Initializes a new instance of the DomainDto class.
Declaration
[JsonConstructor]
protected DomainDto()
DomainDto(Guid, Guid, string, string, List<string>, string, bool, bool, List<DomainNameRecord>, Guid?, DateTime, DateTime, DomainTypeEnum)
Initializes a new instance of the DomainDto class.
Declaration
public DomainDto(Guid id = default, Guid userId = default, string domain = null, string verificationToken = null, List<string> dkimTokens = null, string missingRecordsMessage = null, bool hasMissingRecords = false, bool isVerified = false, List<DomainNameRecord> domainNameRecords = null, Guid? catchAllInboxId = null, DateTime createdAt = default, DateTime updatedAt = default, DomainDto.DomainTypeEnum domainType = (DomainDto.DomainTypeEnum)0)
Parameters
| Type | Name | Description |
|---|---|---|
| Guid | id | id (required). |
| Guid | userId | userId (required). |
| string | domain | Custom domain name (required). |
| string | verificationToken | Verification tokens (required). |
| List<string> | dkimTokens | Unique token DKIM tokens (required). |
| string | missingRecordsMessage | If the domain is missing records then show which pairs are missing.. |
| bool | hasMissingRecords | Whether the domain has missing required records. If true then see the domain in the dashboard app. (required). |
| bool | isVerified | Whether domain has been verified or not. If the domain is not verified after 72 hours there is most likely an issue with the domains DNS records. (required). |
| List<DomainNameRecord> | domainNameRecords | List of DNS domain name records (C, MX, TXT) etc that you must add to the DNS server associated with your domain provider. (required). |
| Guid? | catchAllInboxId | The optional catch all inbox that will receive emails sent to the domain that cannot be matched.. |
| DateTime | createdAt | createdAt (required). |
| DateTime | updatedAt | updatedAt (required). |
| DomainDto.DomainTypeEnum | domainType | Type of domain. Dictates type of inbox that can be created with domain. HTTP means inboxes are processed using SES while SMTP inboxes use a custom SMTP mail server. SMTP does not support sending so use HTTP for sending emails. (required). |
Properties
View SourceCatchAllInboxId
The optional catch all inbox that will receive emails sent to the domain that cannot be matched.
Declaration
[DataMember(Name = "catchAllInboxId", EmitDefaultValue = true)]
public Guid? CatchAllInboxId { get; set; }
Property Value
| Type | Description |
|---|---|
| Guid? | The optional catch all inbox that will receive emails sent to the domain that cannot be matched. |
CreatedAt
Gets or Sets CreatedAt
Declaration
[DataMember(Name = "createdAt", IsRequired = true, EmitDefaultValue = true)]
public DateTime CreatedAt { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTime |
DkimTokens
Unique token DKIM tokens
Declaration
[DataMember(Name = "dkimTokens", IsRequired = true, EmitDefaultValue = true)]
public List<string> DkimTokens { get; set; }
Property Value
| Type | Description |
|---|---|
| List<string> | Unique token DKIM tokens |
Domain
Custom domain name
Declaration
[DataMember(Name = "domain", IsRequired = true, EmitDefaultValue = true)]
public string Domain { get; set; }
Property Value
| Type | Description |
|---|---|
| string | Custom domain name |
DomainNameRecords
List of DNS domain name records (C, MX, TXT) etc that you must add to the DNS server associated with your domain provider.
Declaration
[DataMember(Name = "domainNameRecords", IsRequired = true, EmitDefaultValue = true)]
public List<DomainNameRecord> DomainNameRecords { get; set; }
Property Value
| Type | Description |
|---|---|
| List<DomainNameRecord> | List of DNS domain name records (C, MX, TXT) etc that you must add to the DNS server associated with your domain provider. |
DomainType
Type of domain. Dictates type of inbox that can be created with domain. HTTP means inboxes are processed using SES while SMTP inboxes use a custom SMTP mail server. SMTP does not support sending so use HTTP for sending emails.
Declaration
[DataMember(Name = "domainType", IsRequired = true, EmitDefaultValue = true)]
public DomainDto.DomainTypeEnum DomainType { get; set; }
Property Value
| Type | Description |
|---|---|
| DomainDto.DomainTypeEnum | Type of domain. Dictates type of inbox that can be created with domain. HTTP means inboxes are processed using SES while SMTP inboxes use a custom SMTP mail server. SMTP does not support sending so use HTTP for sending emails. |
HasMissingRecords
Whether the domain has missing required records. If true then see the domain in the dashboard app.
Declaration
[DataMember(Name = "hasMissingRecords", IsRequired = true, EmitDefaultValue = true)]
public bool HasMissingRecords { get; set; }
Property Value
| Type | Description |
|---|---|
| bool | Whether the domain has missing required records. If true then see the domain in the dashboard app. |
Id
Gets or Sets Id
Declaration
[DataMember(Name = "id", IsRequired = true, EmitDefaultValue = true)]
public Guid Id { get; set; }
Property Value
| Type | Description |
|---|---|
| Guid |
IsVerified
Whether domain has been verified or not. If the domain is not verified after 72 hours there is most likely an issue with the domains DNS records.
Declaration
[DataMember(Name = "isVerified", IsRequired = true, EmitDefaultValue = true)]
public bool IsVerified { get; set; }
Property Value
| Type | Description |
|---|---|
| bool | Whether domain has been verified or not. If the domain is not verified after 72 hours there is most likely an issue with the domains DNS records. |
MissingRecordsMessage
If the domain is missing records then show which pairs are missing.
Declaration
[DataMember(Name = "missingRecordsMessage", EmitDefaultValue = true)]
public string MissingRecordsMessage { get; set; }
Property Value
| Type | Description |
|---|---|
| string | If the domain is missing records then show which pairs are missing. |
UpdatedAt
Gets or Sets UpdatedAt
Declaration
[DataMember(Name = "updatedAt", IsRequired = true, EmitDefaultValue = true)]
public DateTime UpdatedAt { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTime |
UserId
Gets or Sets UserId
Declaration
[DataMember(Name = "userId", IsRequired = true, EmitDefaultValue = true)]
public Guid UserId { get; set; }
Property Value
| Type | Description |
|---|---|
| Guid |
VerificationToken
Verification tokens
Declaration
[DataMember(Name = "verificationToken", IsRequired = true, EmitDefaultValue = true)]
public string VerificationToken { get; set; }
Property Value
| Type | Description |
|---|---|
| string | Verification tokens |
Methods
View SourceEquals(DomainDto)
Returns true if DomainDto instances are equal
Declaration
public bool Equals(DomainDto input)
Parameters
| Type | Name | Description |
|---|---|---|
| DomainDto | input | Instance of DomainDto to be compared |
Returns
| Type | Description |
|---|---|
| bool | Boolean |
Equals(object)
Returns true if objects are equal
Declaration
public override bool Equals(object input)
Parameters
| Type | Name | Description |
|---|---|---|
| object | input | Object to be compared |
Returns
| Type | Description |
|---|---|
| bool | Boolean |
Overrides
View SourceGetHashCode()
Gets the hash code
Declaration
public override int GetHashCode()
Returns
| Type | Description |
|---|---|
| int | Hash code |
Overrides
View SourceToJson()
Returns the JSON string presentation of the object
Declaration
public virtual string ToJson()
Returns
| Type | Description |
|---|---|
| string | JSON string presentation of the object |
ToString()
Returns the string presentation of the object
Declaration
public override string ToString()
Returns
| Type | Description |
|---|---|
| string | String presentation of the object |
Overrides
View SourceValidate(ValidationContext)
To validate all properties of the instance
Declaration
public IEnumerable<ValidationResult> Validate(ValidationContext validationContext)
Parameters
| Type | Name | Description |
|---|---|---|
| ValidationContext | validationContext | Validation context |
Returns
| Type | Description |
|---|---|
| IEnumerable<ValidationResult> | Validation Result |


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| And I heard a great voice out of the temple saying to the seven angels, Go your ways, and pour out the vials of the wrath of God upon the earth.
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| ᎠᏆᏛᎦᏅᎩᏃ ᎩᎶ ᎠᏍᏓᏯ ᏓᎧᏁᎬᎩ ᏗᎦᎳᏫᎢᏍᏗᏱ ᏛᏓᎴᎲᏍᎩ ᎯᎠ ᏂᏕᎦᏪᏎᎲᎩ ᎦᎵᏉᎩ ᎢᏯᏂᏛ ᏗᏂᎧᎿᎭᏩᏗᏙᎯ, ᎢᏤᎾ, ᎠᎴ ᎡᎶᎯ ᏫᏂᏐᏅᏯ ᎤᏁᎳᏅᎯ ᎤᏔᎳᏬᎯᏍᏗ ᎨᏒ ᎫᎫ ᏓᏟᏍᏛᎢ.
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A-qua-dv-ga-nv-gi-no gi-lo a-s-da-ya da-ka-ne-gv-gi di-ga-la-wi-i-s-di-yi dv-da-le-hv-s-gi hi-a ni-de-ga-we-se-hv-gi ga-li-quo-gi i-ya-ni-dv di-ni-ka-hna-wa-di-do-hi, I-tse-na, a-le e-lo-hi wi-ni-so-nv-ya U-ne-la-nv-hi u-ta-la-wo-hi-s-di ge-sv gu-gu da-tli-s-dv-i.
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| And the first went, and poured out his vial upon the earth; and there fell a noisome and grievous sore upon the men which had the mark of the beast, and upon them which worshipped his image.
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| ᎢᎬᏱᏱᏃ ᎨᏒ ᎤᏪᏅᏒᎩ, ᎠᎴ ᎦᏙᎯ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎤᏕᏯᏙᏗᏃ ᎠᎴ ᎡᎯᏍᏗ ᏚᏂᏣᏍᏓᎳᏛᎩ ᏴᏫ ᎾᏍᎩ Ꮎ ᏅᎩ-ᏗᎦᏅᏌᏗ ᎤᏤᎵ ᏗᎨᎪᏪᎶᏔᏅᎯ, ᎠᎴ ᎾᏍᎩ ᏣᎦᏟᎶᏍᏔᏅᎯ ᎠᎾᏓᏙᎵᏍᏓᏁᎯ.
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I-gv-yi-yi-no ge-sv u-we-nv-sv-gi, a-le ga-do-hi u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i; u-de-ya-do-di-no a-le e-hi-s-di du-ni-tsa-s-da-la-dv-gi yv-wi na-s-gi na nv-gi--di-ga-nv-sa-di u-tse-li di-ge-go-we-lo-ta-nv-hi, a-le na-s-gi tsa-ga-tli-lo-s-ta-nv-hi a-na-da-do-li-s-da-ne-hi.
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| And the second angel poured out his vial upon the sea; and it became as the blood of a dead man: and every living soul died in the sea.
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| ᏔᎵᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᎠᎺᏉᎯ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎤᏲᎱᏒᎯᏃ ᏴᏫ ᎤᎩᎬ ᎾᏍᎩᏯ ᏄᎵᏍᏔᏅᎩ; ᎠᎴ ᏂᎦᏗᏳ ᏗᏅᏃᏛ ᎨᏒ ᎠᎺᏉᎯ ᎠᏁᎲ ᏚᏂᎵᏬᏨᎩ.
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Ta-li-ne-no ge-sv di-ka-hna-wa-di-do-hi a-me-quo-hi u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i; u-yo-hu-sv-hi-no yv-wi u-gi-gv na-s-gi-ya nu-li-s-ta-nv-gi; a-le ni-ga-di-yu di-nv-no-dv ge-sv a-me-quo-hi a-ne-hv du-ni-li-wo-tsv-gi.
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| And the third angel poured out his vial upon the rivers and fountains of waters; and they became blood.
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| ᏦᎢᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᎡᏉᏂ ᏕᎨᏴ ᎠᎴ ᎠᎹ ᏕᎦᏄᎪᎬ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎩᎬᏃ ᏂᏚᎵᏍᏔᏅᎩ.
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Tso-i-ne-no ge-sv di-ka-hna-wa-di-do-hi e-quo-ni de-ge-yv a-le a-ma de-ga-nu-go-gv u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i; gi-gv-no ni-du-li-s-ta-nv-gi.
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| And I heard the angel of the waters say, Thou art righteous, O Lord, which art, and wast, and shalt be, because thou hast judged thus.
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| ᎠᎴ ᎠᎹᏱ ᏗᎦᏘᏯ ᏗᎧᎿᎭᏩᏗᏙᎯ ᎥᏥᏯᏛᎦᏁᎸᎩ, ᎯᎠ ᏄᏪᏒᎩ, ᏂᏍᎦᎤᎾ ᏣᎬᏫᏳᎯ, ᏂᎯ ᎾᏍᎩ ᏤᎭ, ᎠᎴ ᏤᎲᎩ, ᎠᎴ ᏤᎮᏍᏗ, ᏅᏗᎦᎵᏍᏙᏗᎭ ᏄᏍᏛ ᏕᏧᎪᏔᏅᎢ.
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A-le a-ma-yi di-ga-ti-ya di-ka-hna-wa-di-do-hi v-tsi-ya-dv-ga-ne-lv-gi, hi-a nu-we-sv-gi, Ni-s-ga-u-na Tsa-gv-wi-yu-hi, ni-hi na-s-gi tse-ha, a-le tse-hv-gi, a-le tse-he-s-di, nv-di-ga-li-s-do-di-ha nu-s-dv de-tsu-go-ta-nv-i.
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| For they have shed the blood of saints and prophets, and thou hast given them blood to drink; for they are worthy.
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| ᎤᎾᏓᏅᏘᏰᏃ ᎠᎴ ᎠᎾᏙᎴᎰᏍᎩ ᎤᏂᎩᎬ ᎤᏂᏨᏅ, ᎠᎴ ᎩᎬ ᏕᎯᏁᏁᎸ ᎤᎾᏘᏔᏍᏗ; ᏰᎵᎦᏯᏰᏃ ᏚᏳᎪᏗ ᎾᏍᎩ ᎢᏳᎾᎵᏍᏓᏁᏗᏱ.
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U-na-da-nv-ti-ye-no a-le a-na-do-le-ho-s-gi u-ni-gi-gv u-ni-tsv-nv, a-le gi-gv de-hi-ne-ne-lv u-na-ti-ta-s-di; ye-li-ga-ya-ye-no du-yu-go-di na-s-gi i-yu-na-li-s-da-ne-di-yi.
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| And I heard another out of the altar say, Even so, Lord God Almighty, true and righteous are thy judgments.
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| ᏅᏩᏓᎴᏃ [ᏗᎧᎿᎭᏩᏗᏙᎯ] ᎥᏥᏯᏛᎦᏁᎸᎩ ᎠᏥᎸ-ᎨᎳᏍᏗᏱ ᎯᎠ ᏅᏓᏳᏪᏒᎩ, ᎾᏍᎩᏯ ᏄᏍᏕᏍᏗ, ᏣᎬᏫᏳᎯ ᏣᏁᎳᏅᎯ ᏫᎾᏍᏛᎾ ᏣᎵᏂᎩᏛ, ᎣᏏᏳ ᎠᎴ ᏚᏳᎪᏛ ᏂᎯ ᏗᎫᎪᏙᏗ ᎨᏒᎢ.
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Nv-wa-da-le-no [di-ka-hna-wa-di-do-hi] v-tsi-ya-dv-ga-ne-lv-gi a-tsi-lv--ge-la-s-di-yi hi-a nv-da-yu-we-sv-gi, Na-s-gi-ya nu-s-de-s-di, Tsa-gv-wi-yu-hi Tsa-ne-la-nv-hi Wi-na-s-dv-na tsa-li-ni-gi-dv, o-si-yu a-le du-yu-go-dv ni-hi di-gu-go-do-di ge-sv-i.
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| And the fourth angel poured out his vial upon the sun; and power was given unto him to scorch men with fire.
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| ᏅᎩᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᏅᏙ ᎢᎦ-ᎡᎯ ᎧᎸ ᎤᏪᏐᏴᏅᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎠᎴ ᎠᎦᎵᏍᎪᎸᏓᏁᎸᎩ ᎠᏥᎸ ᎬᏗ ᏧᎴᏴᏙᏗᏱ ᏴᏫ.
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Nv-gi-ne-no ge-sv di-ka-hna-wa-di-do-hi nv-do i-ga--e-hi ka-lv u-we-so-yv-nv-gi gu-gu a-ye-hv a-tli-s-dv-i; a-le a-ga-li-s-go-lv-da-ne-lv-gi a-tsi-lv gv-di tsu-le-yv-do-di-yi yv-wi.
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| And men were scorched with great heat, and blasphemed the name of God, which hath power over these plagues: and they repented not to give him glory.
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| ᎠᎴ ᎤᏣᏘ ᎤᏗᎴᎩ ᎨᏒ ᏕᎨᏥᎴᏴᏙᏔᏅᎩ ᏴᏫ, ᎠᎴ ᎤᏁᎳᏅᎯ ᏚᏙᎥ ᎤᏂᏐᏢᎢᏍᏔᏅᎩ, ᎾᏍᎩ ᎠᏓᏅᏖᏍᎬᏉ ᎢᎬᏩᏁᎵᏓᏍᏗ ᏥᎩ ᎯᎠ ᎾᏍᎩ ᎤᏕᏯᏙᏗ ᎨᏒᎢ; ᎠᎴ ᎥᏝ ᏱᏚᏂᏁᏟᏴᏎ ᏚᎾᏓᏅᏛ ᎾᏍᎩ ᎬᏩᎸᏉᏙᏗᏱ.
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A-le u-tsa-ti u-di-le-gi ge-sv de-ge-tsi-le-yv-do-ta-nv-gi yv-wi, a-le U-ne-la-nv-hi du-do-v u-ni-so-tlv-i-s-ta-nv-gi, na-s-gi a-da-nv-te-s-gv-quo i-gv-wa-ne-li-da-s-di tsi-gi hi-a na-s-gi u-de-ya-do-di ge-sv-i; a-le v-tla yi-du-ni-ne-tli-yv-se du-na-da-nv-dv na-s-gi gv-wa-lv-quo-do-di-yi.
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| And the fifth angel poured out his vial upon the seat of the beast; and his kingdom was full of darkness; and they gnawed their tongues for pain,
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| ᎯᏍᎩᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᏅᎩ-ᏗᎦᏅᏌᏗ ᎤᏪᏗᏱ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ, ᎤᏥᎵᎪᎯᏃ ᎨᏒ ᎤᎧᎵᏦᏅᎩ ᎤᎵᏏᎩ; ᏓᏂᏃᏓᏛᏃ ᏚᏂᎩᏍᏙᎥᎩ ᏚᏁᎯᏍᏓᏁᎲ ᎢᏳᏍᏗ,
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Hi-s-gi-ne-no ge-sv di-ka-hna-wa-di-do-hi nv-gi--di-ga-nv-sa-di u-we-di-yi u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i, u-tsi-li-go-hi-no ge-sv u-ka-li-tso-nv-gi u-li-si-gi; da-ni-no-da-dv-no du-ni-gi-s-do-v-gi du-ne-hi-s-da-ne-hv i-yu-s-di,
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| And blasphemed the God of heaven because of their pains and their sores, and repented not of their deeds.
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| ᎠᎴ ᎤᏁᎳᏅᎯ ᎦᎸᎳᏗ ᎡᎯ ᎤᏂᏐᏢᎢᏍᏔᏅᎩ, ᏅᏓᎦᎵᏍᏙᏗᏍᎬᎩ ᏚᏁᎯᏍᏓᏁᎲᎢ ᎠᎴ ᏚᏂᏥᏍᏓᎸᎢ, ᎠᎴ ᎥᏝ ᎤᏲ ᏳᏂᏰᎸᏁ ᏄᏍᏛ ᏚᏂᎸᏫᏍᏓᏁᎸᎢ.
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A-le U-ne-la-nv-hi ga-lv-la-di e-hi u-ni-so-tlv-i-s-ta-nv-gi, nv-da-ga-li-s-do-di-s-gv-gi du-ne-hi-s-da-ne-hv-i a-le du-ni-tsi-s-da-lv-i, a-le v-tla u-yo yu-ni-ye-lv-ne nu-s-dv du-ni-lv-wi-s-da-ne-lv-i.
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| And the sixth angel poured out his vial upon the great river Euphrates; and the water thereof was dried up, that the way of the kings of the east might be prepared.
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| ᏑᏓᎵᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᎡᏆ ᎡᏉᏂ ᎤᏪᏴ ᏳᏇᏗ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎠᎹᏃ ᎾᎿᎭᎡᎬ ᎤᎶᏐᏅᎩ, ᎾᏍᎩ ᎤᏂᎬᏫᏳᎯ ᏗᎧᎸᎬ ᎢᏗᏢ ᎠᏁᎯ ᎤᏂᏅᏅ ᎨᎦᏛᏅᎢᏍᏓᏁᏗᏱ ᎠᏰᎸᏒᎩ.
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Su-da-li-ne-no ge-sv di-ka-hna-wa-di-do-hi e-qua e-quo-ni u-we-yv Yu-que-di u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i; a-ma-no na-hna e-gv u-lo-so-nv-gi, na-s-gi u-ni-gv-wi-yu-hi di-ka-lv-gv i-di-tlv a-ne-hi u-ni-nv-nv ge-ga-dv-nv-i-s-da-ne-di-yi a-ye-lv-sv-gi.
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| And I saw three unclean spirits like frogs come out of the mouth of the dragon, and out of the mouth of the beast, and out of the mouth of the false prophet.
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| ᎠᎴ ᏦᎢ ᎢᏯᏂᏛ ᎠᏂᎦᏓᎭ ᏗᏓᏅᏙ ᎦᏥᎪᎥᎩ ᏩᎶᏏ ᏗᎾᏤᎵᏛ, ᎢᎾᏛ ᎠᎰᎵ ᏓᏳᏂᏄᎪᏨᎩ, ᎠᎴ ᏅᎩ-ᏗᎦᏅᏌᏗ ᎠᎰᎵ, ᎠᎴ ᎤᏠᎾᏍᏗ ᎠᏙᎴᎰᏍᎩ ᎠᎰᎵ.
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A-le tso-i i-ya-ni-dv a-ni-ga-da-ha di-da-nv-do ga-tsi-go-v-gi wa-lo-si di-na-tse-li-dv, i-na-dv a-ho-li da-yu-ni-nu-go-tsv-gi, a-le nv-gi--di-ga-nv-sa-di a-ho-li, a-le u-tlo-na-s-di a-do-le-ho-s-gi a-ho-li.
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| For they are the spirits of devils, working miracles, which go forth unto the kings of the earth and of the whole world, to gather them to the battle of that great day of God Almighty.
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| ᎠᏂᏍᎩᎾᏰᏃ ᏧᎾᏓᏅᏙ ᎾᏍᎩ, ᎤᏍᏆᏂᎪᏗ ᏚᏂᎸᏫᏍᏓᏁᎭ, ᎡᎶᎯ ᎠᏁᎯ ᎤᏂᎬᏫᏳᎯ ᎠᎴ ᎡᎳᏂᎬ ᏓᏂᏩᏛᎮᎦ, ᎾᏍᎩ ᏧᏂᏟᏐᏗᏱ ᏧᎾᎵᏍᏗᏱ ᎤᏂᏰᎸᎭ ᎦᎸᏉᏗ ᎢᎦ ᎨᏒ ᎤᏁᎳᏅᎯ ᎤᏤᎵᎦ ᏫᎾᏍᏛᎾ ᎤᎵᏂᎩᏛ ᏥᎩ.
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A-ni-s-gi-na-ye-no tsu-na-da-nv-do na-s-gi, u-s-qua-ni-go-di du-ni-lv-wi-s-da-ne-ha, e-lo-hi a-ne-hi u-ni-gv-wi-yu-hi a-le e-la-ni-gv da-ni-wa-dv-he-ga, na-s-gi tsu-ni-tli-so-di-yi tsu-na-li-s-di-yi u-ni-ye-lv-ha ga-lv-quo-di i-ga ge-sv U-ne-la-nv-hi u-tse-li-ga Wi-na-s-dv-na u-li-ni-gi-dv tsi-gi.
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| Behold, I come as a thief. Blessed is he that watcheth, and keepeth his garments, lest he walk naked, and they see his shame.
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| ᎬᏂᏳᏉ, ᎦᏃᏍᎩᏍᎩ ᏥᎦᎷᎪ ᎾᏍᎩᏯ ᏓᏥᎷᏥ. ᎣᏏᏳ ᎢᏳᎵᏍᏓᏁᏗ ᎾᏍᎩ Ꮎ ᎠᏯᏫᏍᎩ, ᎠᎴ ᏧᏄᏬ ᏗᏍᏆᏂᎪᏗᏍᎩ, ᎾᏍᎩ ᎤᏰᎸᎭ ᎤᏪᏓᏍᏗᏱ ᏂᎨᏒᎾ, ᎠᎴ ᎤᏕᎰᎯᏍᏗ ᎨᏒ ᎠᏥᎪᏩᏛᎡᏗᏱ ᏂᎨᏒᎾ.
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Gv-ni-yu-quo, ga-no-s-gi-s-gi tsi-ga-lu-go na-s-gi-ya da-tsi-lu-tsi. O-si-yu i-yu-li-s-da-ne-di na-s-gi na a-ya-wi-s-gi, a-le tsu-nu-wo di-s-qua-ni-go-di-s-gi, na-s-gi u-ye-lv-ha u-we-da-s-di-yi ni-ge-sv-na, a-le u-de-ho-hi-s-di ge-sv a-tsi-go-wa-dv-e-di-yi ni-ge-sv-na.
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| And he gathered them together into a place called in the Hebrew tongue Armageddon.
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| ᎠᎴ ᏚᏪᏟᏌᏅᎩ ᎠᎹᎨᏙᏂ ᏚᏙᎥ ᎠᏂᏈᎷ ᎤᏂᏬᏂᎯᏍᏗ ᎨᏒ ᏯᎬᏗᎭ.
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A-le du-we-tli-sa-nv-gi A-ma-ge-do-ni du-do-v A-ni-qui-lu u-ni-wo-ni-hi-s-di ge-sv ya-gv-di-ha.
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| And the seventh angel poured out his vial into the air; and there came a great voice out of the temple of heaven, from the throne, saying, It is done.
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| ᎦᎵᏉᎩᏁᏃ ᎨᏒ ᏗᎧᎿᎭᏩᏗᏙᎯ ᎦᎳᏅᏛᏉ ᎦᎸᎶᎢ ᎤᏪᏐᏅᏴᎩ ᎫᎫ ᎠᏰᎲ ᎠᏟᏍᏛᎢ; ᎠᎴ ᎠᏍᏓᏯ ᏗᎧᏁᎬ ᎩᎶ ᎦᎸᎳᏗ ᏗᎦᎳᏫᎢᏍᏗᏱ ᎠᎴ ᎾᎿᎭᏗᎦᏍᎩᎸ ᏓᏳᏓᎴᏅᎩ, ᎯᎠ ᏅᏓᎦᏪᏍᎬᎩ, ᎿᎭᏉ ᎠᎵᏍᏆᏓ.
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Ga-li-quo-gi-ne-no ge-sv di-ka-hna-wa-di-do-hi ga-la-nv-dv-quo ga-lv-lo-i u-we-so-nv-yv-gi gu-gu a-ye-hv a-tli-s-dv-i; a-le a-s-da-ya di-ka-ne-gv gi-lo ga-lv-la-di di-ga-la-wi-i-s-di-yi a-le na-hna di-ga-s-gi-lv da-yu-da-le-nv-gi, hi-a nv-da-ga-we-s-gv-gi, Hna-quo a-li-s-qua-da.
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| And there were voices, and thunders, and lightnings; and there was a great earthquake, such as was not since men were upon the earth, so mighty an earthquake, and so great.
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| ᎿᎭᏉᏃ ᏚᏍᏆᏃᏴᎳᏒᎩ, ᎠᎴ ᏚᏴᏓᏉᎶᎥᎩ, ᎠᎴ ᏚᎾᎦᎸᎲᎩ; ᎠᎴ ᎦᏙᎯ ᎤᏣᏘ ᎤᎵᏖᎸᏅᎩ, ᎾᏍᎩ ᎢᎦᎢ ᎥᏝ ᎢᎸᎯᏳ ᏱᎬᏩᎵᏖᎸᏃ ᏴᏫ ᎡᎶᎯ ᎤᎾᏕᏅ ᏅᏓᎬᏩᏓᎴᏅᏛ, ᎾᏍᎩ ᎢᏳᎵᏂᎩᏛ ᎠᎴ ᎾᏍᎩ ᎢᏳᏍᎦᏎᏗ.
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Hna-quo-no du-s-qua-no-yv-la-sv-gi, a-le du-yv-da-quo-lo-v-gi, a-le du-na-ga-lv-hv-gi; a-le ga-do-hi u-tsa-ti u-li-te-lv-nv-gi, na-s-gi i-ga-i v-tla i-lv-hi-yu yi-gv-wa-li-te-lv-no yv-wi e-lo-hi u-na-de-nv nv-da-gv-wa-da-le-nv-dv, na-s-gi i-yu-li-ni-gi-dv a-le na-s-gi i-yu-s-ga-se-di.
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| And the great city was divided into three parts, and the cities of the nations fell: and great Babylon came in remembrance before God, to give unto her the cup of the wine of the fierceness of his wrath.
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| ᎠᎴ ᎾᏍᎩ ᎡᏆ ᎦᏚᎲ ᏦᎢ ᏄᏓᏛᎩ, ᎠᎴ ᎤᎾᏓᏤᎵᏛ ᏴᏫ ᏓᏁᏩᏗᏒ ᏚᏂᏚᎲ ᏚᏲᏨᎩ; ᎠᎴ ᏓᏓᎶᏂ ᎦᎸᏉᏗ ᎦᏚᎲ ᎠᏅᏓᏗᏍᏗ ᏄᎵᏍᏔᏅᎩ ᎤᏁᎳᏅᎯ ᏄᏛᏅᎢ, ᎾᏍᎩ ᎠᏥᏁᏗᏱ [ᏓᏓᎶᏂ] ᎤᎵᏍᏈᏗ ᎩᎦᎨ-ᎠᏗᏔᏍᏗ ᎠᏟᏍᏛ ᎤᏣᏘ ᎤᏔᎳᏬᎯᏍᏗ ᎨᏒ ᎤᏩᏛᏗ.
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A-le na-s-gi e-qua ga-du-hv tso-i nu-da-dv-gi, a-le u-na-da-tse-li-dv yv-wi da-ne-wa-di-sv du-ni-du-hv du-yo-tsv-gi; a-le Da-da-lo-ni ga-lv-quo-di ga-du-hv a-nv-da-di-s-di nu-li-s-ta-nv-gi U-ne-la-nv-hi nu-dv-nv-i, na-s-gi a-tsi-ne-di-yi [Da-da-lo-ni] u-li-s-qui-di gi-ga-ge--a-di-ta-s-di a-tli-s-dv u-tsa-ti u-ta-la-wo-hi-s-di ge-sv u-wa-dv-di.
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| And every island fled away, and the mountains were not found.
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| ᎠᎴ ᏂᎦᏛ ᎠᎹᏰᎵ ᏚᏪᎧᏩᏗᏒ ᎤᎾᎵᏒᎩ, ᎠᎴ ᏙᏓᎸ ᎥᏝ ᏗᎬᏩᏛᏗ ᏱᎨᏎᎢ.
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A-le ni-ga-dv a-ma-ye-li du-we-ka-wa-di-sv u-na-li-sv-gi, a-le do-da-lv v-tla di-gv-wa-dv-di yi-ge-se-i.
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| And there fell upon men a great hail out of heaven, every stone about the weight of a talent: and men blasphemed God because of the plague of the hail; for the plague thereof was exceeding great.
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| ᎡᏆᏃ ᎤᏁᏐᎠᏒᎩ ᏴᏫ ᎠᏁᎲ ᎦᎸᎳᏗ ᏅᏓᏳᏓᎴᏅᎯ, ᏌᏉᎭ ᎨᏒ ᏔᎸᏗ ᏄᏓᎨᏒ ᏄᏓᎨᏒᎩ; ᏴᏫᏃ ᎤᏁᎳᏅᎯ ᎤᏂᏐᏢᎢᏍᏔᏅᎩ ᏅᏓᎦᎵᏍᏙᏗᏍᎬᎩ ᎤᏁᏍᏓᎳ ᎤᎾᏕᏯᏙᏗᏍᎬᎢ; ᎤᏣᏘᏰᏃ ᎤᎾᏕᏯᏙᏗᏍᎬᎩ ᎾᏍᎩ.
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e-qua-no u-ne-so-a-sv-gi yv-wi a-ne-hv ga-lv-la-di nv-da-yu-da-le-nv-hi, sa-quo-ha ge-sv ta-lv-di nu-da-ge-sv nu-da-ge-sv-gi; yv-wi-no u-ne-la-nv-hi u-ni-so-tlv-i-s-ta-nv-gi nv-da-ga-li-s-do-di-s-gv-gi u-ne-s-da-la u-na-de-ya-do-di-s-gv-i; u-tsa-ti-ye-no u-na-de-ya-do-di-s-gv-gi na-s-gi.
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<!DOCTYPE HTML PUBLIC
"-//W3C//DTD HTML 4.0 Strict//EN">

Simple.html

Instructions

Press the back and forward buttons when
the page is finished loading. Leave the
page for a new web site and come
back using the back button, and notice
how the history data is still
persisted.

Debug Output


This is a weather station.
Time: It is .
The last measurement was conducted at (local browser time).
Temperature: Last recorded temperature is °C.
Humidity: Last recorded relative humidity is %.


Reply
From:
Bob <
<EMAIL_ADDRESS>>
Date:
Tue, 01 Nov 2011 18:54:39 -0700
To:
Rob <
<EMAIL_ADDRESS>>
Subject:
Test
Hi


Shakur Trammel
Front-end Developer Building User-Freiendly UI's
Above are some initial ideas for the navigation and header elements of my personal site/blog. I'm excited about building my home online, especially my blog. I want to create a UI that feels open, upscale and refreshing for my users. I want the interface to be very intuitive and easy for them to navigate as well. That black dot is where my picture will be. I want a widescreen video/motion graphic portrait but site speed takes precedence so I don't know if I can swing the animated portrait. I am going to try regardless!


This article will thoroughly explain batch normalization in a simple way. I wrote this article after getting failed an interview because of detailed batchnorm related question. I will start with why we need it, how it works, then how to fuse it into conv layer, and finally how to implement it in tensorflow.
Here is the original paper about batch normalization on Arxiv:
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
Interpretation and Advantage of Batch Norm
Of course, batch norm is used to normalize the input for certain layer. We can think it in this way: if some of our input image have a scale between 0-1 while others are between 1-1000. It is better to normalize them before training. We can apply the same idea to the input of every layer input. There are several advantages to use batch norm:
- Batch norm can reduce the covariance shift. For example, we train a model to classify cat and flowers.  In this way, the model won’t work because it can only classify the distribution of black cat and flowers. What batch norm does is to reduce this kind of error and make the input shift, like reduce the difference between black cat and other cats. And the same thing also applies to every layer in the neural network. Batch norm can reduce the shift around of previous output and make the training of next layers easier.
- Batch norm can remove the linear interactions in output. In this way, linear layers would be useless, because they cano only have effect on linear component. In a deep neural network with nonlinearactivation functions, the lower layers can perform nonlinear transformations of the data, so they remain useful. Batch normalization acts to standardize only the mean and variance of each unit in order to stabilize learning, but it allows therelationships between units and the nonlinear statistics of a single unit to change.
- Batch normalization can greatly speed up training process. Batch normalization accelerates training by requiring less iterations to
converge to a given loss value. This can be done by using higher learning rates, but with smaller learning rates you can still see an improvement.
Batch normalization also makes the optimization problem “easier”, as minimizing the covariate shift avoid lots of plateaus where the loss stagnates or decreases slowly. It can still happen but it is much less frequent. - Batch norm also has some regularization effect. Every mini-batch is a biased sample from the total dataset.
When doing batch norm, we will subtract mean and divide it by variance. This can also be treated as add
noise to data. Similar to regularization techniques like dropout, network can gain some regularization
from this. But this effect is quite minor.
Algorithm and implementation
Here is the algorithm diagram batch norm.
Nothing fancy but extremely practical algorithm. One thing has to mention, the learnable variables $\gamma$ and $\beta$. The deep learning book gives clear explaination about this. Normalizing the mean and deviation of a unit can reduce the expressive power of a neural network. In this way, it is common to multiply the normalized result with $\gamma$ and add $\beta$. For exmaple, if we have sigmoid activation afterwards, the network may don’t want the output lies in the near linear part of sigmoid. With $\gamma$ and $\beta$, the network has the freedom to shift whatever it wants.
This is a new parametrization can represent the same family of functions of the input as the old parametrization, but the new parametrization has different learning dynamics. In the old parametrization, the mean of H was determined by a complicated interaction between the parameters in the layers below H. In the new parametrization, the mean of $y=\gamma x + \beta$ is determined solely by $\gamma$. The new parametrization is much easier to learn with gradient descent. – Deep Learning Book
At test time, we need the mean and variance directly. So, the method is using an exponentially weighted average across mini-batches.
We have $ x_1, x_2, … ,x_i $ outputs from different mini-batches. What we do is put expotential
weight on previous processed mini-batches. The calculation is quite simple:
$$Mean_{running} = \mu * Mean_{running} + (1.0 - \mu) * Mean_{sample}$$
$$Var_{running} = \mu * Var_{running} + (1.0 - \mu) * Var_{sample}$$
And we use running mean and var to calculate batchnorm.
Alternatively, we can first calculate the total mean and variance of total test dataset. But
this exponential weighted method are more popular in practice.
And last but not least, the code for forward and backward pass(from my cs231n homework):
def batchnorm_forward(x, gamma, beta, bn_param):
"""
Forward pass for batch normalization.
During training the sample mean and (uncorrected) sample variance are
computed from minibatch statistics and used to normalize the incoming data.
During training we also keep an exponentially decaying running mean of the
mean and variance of each feature, and these averages are used to normalize
data at test-time.
At each timestep we update the running averages for mean and variance using
an exponential decay based on the momentum parameter:
running_mean = momentum * running_mean + (1 - momentum) * sample_mean
running_var = momentum * running_var + (1 - momentum) * sample_var
Note that the batch normalization paper suggests a different test-time
behavior: they compute sample mean and variance for each feature using a
large number of training images rather than using a running average. For
this implementation we have chosen to use running averages instead since
they do not require an additional estimation step; the torch7
implementation of batch normalization also uses running averages.
Input:
- x: Data of shape (N, D)
- gamma: Scale parameter of shape (D,)
- beta: Shift paremeter of shape (D,)
- bn_param: Dictionary with the following keys:
- mode: 'train' or 'test'; required
- eps: Constant for numeric stability
- momentum: Constant for running mean / variance.
- running_mean: Array of shape (D,) giving running mean of features
- running_var Array of shape (D,) giving running variance of features
Returns a tuple of:
- out: of shape (N, D)
- cache: A tuple of values needed in the backward pass
"""
mode = bn_param['mode']
eps = bn_param.get('eps', 1e-5)
momentum = bn_param.get('momentum', 0.9)
N, D = x.shape
running_mean = bn_param.get('running_mean', np.zeros(D, dtype=x.dtype))
running_var = bn_param.get('running_var', np.zeros(D, dtype=x.dtype))
out, cache = None, None
if mode == 'train':
sample_mean = np.mean(x, axis=0)
sample_var = np.var(x, axis=0)
x_stand = (x - sample_mean.T) / np.sqrt(sample_var.T + eps)
out = x_stand * gamma + beta
running_mean = momentum * running_mean + (1.0 - momentum) * sample_mean
running_var = momentum * running_var + (1.0 - momentum) * sample_var
cache = (sample_mean, sample_var, x_stand, x, gamma, beta, eps)
elif mode == 'test':
x_stand = (x - running_mean) / np.sqrt(running_var)
out = x_stand * gamma + beta
else:
raise ValueError('Invalid forward batchnorm mode "%s"' % mode)
# Store the updated running means back into bn_param
bn_param['running_mean'] = running_mean
bn_param['running_var'] = running_var
return out, cache
def batchnorm_backward(dout, cache):
"""
Backward pass for batch normalization.
For this implementation, you should write out a computation graph for
batch normalization on paper and propagate gradients backward through
intermediate nodes.
Inputs:
- dout: Upstream derivatives, of shape (N, D)
- cache: Variable of intermediates from batchnorm_forward.
Returns a tuple of:
- dx: Gradient with respect to inputs x, of shape (N, D)
- dgamma: Gradient with respect to scale parameter gamma, of shape (D,)
- dbeta: Gradient with respect to shift parameter beta, of shape (D,)
"""
dx, dgamma, dbeta = None, None, None
sample_mean, sample_var, x_stand, x, gamma, beta, eps = cache
N, D = dout.shape
dbeta = np.sum(dout, axis=0)
dgamma = np.sum(x_stand * dout, axis=0)
dx = (1. / N) * gamma * (sample_var + eps)**(-1. / 2.) * (
N * dout - np.sum(dout, axis=0) - (x - sample_mean) * (
sample_var + eps)**(-1.0) * np.sum(dout * (x - sample_mean), axis=0))
return dx, dgamma, dbeta
During training, the moving_mean and moving_variance need to be updated. By default the update ops are placed in tf.GraphKeys.UPDATE_OPS, so they need to be added as a dependency to the train_op. So, the template is:
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
with tf.control_dependencies(update_ops):
train_op = optimizer.minimize(loss)
And also tensorflow official evaluate function (classification model zoo):
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS, first_clone_scope)
with tf.control_dependencies([update_op]):
train_tensor = tf.identity(total_loss, name='train_op')
Improvements and Alternatives
Batch norm fused with Convolution
This is the question makes me fail the interview. Actually, there is no magic stuff about fused batch normalization. Just mathematically calculate two layers together and treat them as one layer in forward and backward pass:
Conv:
$$convout(N_i,C_{out})=bias(C_{out})+\sum_{k=1}^{C} weight(C_{out},k)*input(N_i,k)$$
Batch Norm:
$$bnout(N_i,C_{out})=(convout(N_i,C_{out})-\mu)/\sqrt{((\epsilon + \sigma)^2)}$$
$$bnout(N_i,C_{out})=\gamma*bnout(N_i,C_{out})+\beta$$
Here, $convout(N_i,C_{out})$ means the $N_ith$ sample in the $C_{out}$ channel. Same notation applies to input and bnout.
$weight(C_{out},k)$ is the conv kernel corresponding to $C_{out}$. And $\epsilon, \sigma, \mu, \gamma, \beta$ are the same as above.
After fusion, the total calculation becomes:
$$out(N_i,C_{out})=\gamma*(bias(C_{out})+\sum_{k=1}^{C} weight(C_{out},k)*input(N_i,k)/\sqrt{((\epsilon + \sigma)^2)}+\beta$$ In this way, the weight and bias of fused conv layer is:
$$bias = \gamma*(bias(C_{out})$$ $$weight = weight(C_{out},k)/\sqrt{((\epsilon + \sigma)^2)}+\beta$$
We can use the fused bias and weight in previous conv layers. We can drop the intermediate result between conv and batch norm using this method, which can save up to 50% memory and a minor increase of training time.
Layer normalization
Just understand from its name, layer normalization. Instead of using a batch of data to produce $\mu and \sigma$ at every location, It uses all the neuron activations in one layer to produce $\mu and \sigma$. This method is especially useful when not using mini-batch like RNN, where batch norm cannot be used. But its performance in convs layers are not as good as batch norm.
Instance Normalization
Group Normalization
Other normalization techniques*
Recurrent Batch Normalization (BN) (Cooijmans, 2016; also proposed concurrently by Qianli Liao & Tomaso Poggio, but tested on Recurrent ConvNets, instead of RNN/LSTM): Same as batch normalization. Use different normalization statistics for each time step. You need to store a set of mean and standard deviation for each time step.
Batch Normalized Recurrent Neural Networks (Laurent, 2015): batch normalization is only applied between the input and hidden state, but not between hidden states. i.e., normalization is not applied over time.
Streaming Normalization (Liao et al. 2016) : it summarizes existing normalizations and overcomes most issues mentioned above. It works well with ConvNets, recurrent learning and online learning (i.e., small mini-batch or one sample at a time):
Weight Normalization (Salimans and Kingma 2016): whenever a weight is used, it is divided by its L2 norm first, such that the resulting weight has L2 norm 1. That is, output y=x*(w/|w|), where x and w denote the input and weight respectively. A scalar scaling factor g is then multiplied to the output y=y*g. But in my experience g seems not essential for performance (also downstream learnable layers can learn this anyway).
Cosine Normalization (Luo et al. 2017): weight normalization is very similar to cosine normalization, where the same L2 normalization is applied to both weight and input: y=(x/|x|)*(w/|w|). Again, manual or automatic differentiation can compute appropriate gradients of x and w.
Here are some great reference materials:
1. Deep Learning Book, Chapter 8.7.1
2. Stackoverflow: How could I use Batch Normalization in TensorFlow?
3. Explaination on Covariance Shift
4. Tensorflow batch normalization docs
5. Various Normalization Techniques in Deep Learning


--- layout: post title: Useful Things with Kendo UI Core Slider and AngularJS date: 2014-12-16 17:47:59.000000000 -07:00 type: post published: true status: publish categories: - AngularJS - JavaScript - jQuery - Programming - UI tags: [] meta: _edit_last: '8' _nina_cross_promo: a:1:{s:8:"template";s:17:"custom_1399328552";} _thumbnail_id: '997' _yoast_wpseo_primary_category: '' _wpcom_is_markdown: '1' author: login: ohmadmin email<EMAIL_ADDRESS>display_name: Lukas Ruebbelke first_name: Lukas last_name: Ruebbelke ---
I have had a few questions about my use of the Kendo slider in Viewnicorn, so I just wanted to take a quick minute and show how easy it is to use it in your application.
I am using Kendo UI Core which is a totally free and open-source version of Kendo UI that comes with an impressive set of components. Not only does Kendo UI Core come with a bunch of useful components, but also it has AngularJS bindings built into it. Double rainbow all the way!
There is the new AngularJS Material Design project that is extremely promising, so definitely keep an eye on that.
[button link="http://embed.plnkr.co/sxkCUH/preview" size="large" window="yes"]Demo[/button]
[button link="http://plnkr.co/edit/sxkCUH" size="large" window="yes"]Code[/button]
[iframe src="http://embed.plnkr.co/sxkCUH/preview" height="400px"]
The first thing we need to do is to add the appropriate source files to our page. This includes jQuery, AngularJS, and the Kendo UI Core source files. We are including the entire core for this example, but you can also do a custom build where you only include the components that you need.
{% highlight html %}
{% endhighlight %}
We will also include the appropriate CSS files.
{% highlight html %}
{% endhighlight %}From here we need to include the kendo.directives submodule into our application.
[js]
angular.module("party", ["kendo.directives"])
.controller('SliderCtrl', function() {
var sliderCtrl = this;
sliderCtrl.amount = 67;
});
[/js]
We are also declaring a controller called SliderCtrl and setting an amount property on it (we will bind to it in just a moment).
And now for the Kendo parts! We are going to add an input to our HTML and grant it super slider powers by adding the kendo-slider attribute to it. This will instantiate the Kendo slider directive; we will then set the range using k-min and k-max.
{% highlight html %}
{% endhighlight %}
And from here it is the standard ng-model song and dance. We are binding the slider to sliderCtrl.amount and then displaying that value in the jumbotron.
You can also call methods when the slider changes using the k-on-change attribute such as k-on-change="onSliderUpdated(kendoEvent)" which will take care of the $digest cycle for you.
And that is all there is to it! I definitely appreciate having a quality control to use in my applications that is free, open-source, and super simple to set up. As always, I love questions and comments; in fact, a lot of my posts stem from conversations that I have with other developers. Let me know what you think in the comments below. Catch you on the next post!
[button link="http://embed.plnkr.co/sxkCUH/preview" size="large" window="yes"]Demo[/button]
[button link="http://plnkr.co/edit/sxkCUH" size="large" window="yes"]Code[/button]


| Home > Documentation > Installing and running > Getting and installing Geronimo |
Apache Geronimo v2.2 is a Java EE 5 Certified server. Installation packages are available for both Windows and Unix (including Linux, Mac OS X) operating systems. In addition to the platform specific downloads, Geronimo is available in three main distributions which are the Java EE 5 Certified (Big-G), Little-G and Geronimo Framework. As suggested by the name, only the first one has full support of all the features and functions in the Java EE 5 specification and has passed SUN's Java EE 5 Certification Test Suite (CTS).
Little-G distribution includes a Web container and a subset of other modules from the certified Geronimo distribution. This is not a Java EE 5 compliant server but it is probably more appealing to users who look for a smaller footprint with specific functionality. Java EE 5 and Little-G assemblies are provided with Jetty or Tomcat Web Containers. You can find more information about the Jetty project here. More information on the Tomcat project is available here. Both are excellent Web Containers that are compliant with the Servlet 2.5 and JSP 2.1 specifications. Your choice may be driven by your past experience and particular functionality requirements.
The third distribution, Geronimo Framework, offers just that, a stripped down framework for you to build up your own custom Geronimo server based on the available plugins. Unlike Little-G, this distribution does not include a web container, it only provides the bare minimum support for installing plugins. This is particularly practical since Geronimo v2.2 is built up entirely from plugins, see the Administering plugins section for additional details.
You can find the source code and binary files of Geronimo v2.2 at http://geronimo.apache.org/downloads.html.
You can also build a server from source code using either maven or eclipse. Look into Building Geronimo from source for the details.
| Bookmark this on Delicious Digg this | Privacy Policy - Copyright © 2003-2013, The Apache Software Foundation, Licensed under ASL 2.0. |


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¡
The
New
York
copyright
reserved
Botanical
Garden
1BOTANICAL
GARDEN
01029081
botanical
HERBARIUM
OF
THE
NEW
YORK
BOTANICAL
GARDEN
Plants
of
PORTO
RICO
Micropholis
chrysophylloides
Pierre
Dinall
tree,
8
m.
high.
On
serpentine
soil.
Karicao
State
^orest.
Alt.
6OO-8OO
m.
No.
9182.
June
26,
1962
Collected
by
Bro.
Alain.
01029081
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


---
layout: post
title: Assert.Throws<> Over ExpectedException
date: 2013-10-09 04:39:36.000000000 +02:00
categories:
- .Net framework
- TDD
tags: []
status: publish
type: post
published: true
meta:
_edit_last: '1'
author:
login: admin
email<EMAIL_ADDRESS>display_name: admin
first_name: ''
last_name: ''
---
Writing unit tests that expects a given type of exception under given circumstances is essential for any test suite. Although it is useful to use the correct assertion types when testing for exceptions. In this post I will provide some guidance on why to use Assert.Throws<>() instead of ExpectedException.
Using the ExpectedException:
- ///
- /// Testing exception handling
- ///
- [Test]
- [ExpectedException(typeof(ArgumentNullException))]
- publicvoid WhateverTestName()
- {
- // Arrange
- var sut = newSystemUnderTest();
- // Act
- // Assert
- sut.MethodThatThrowsEception();
- }
In the above example whenever / wherever an exception of the given type is thrown inside the test, the test is considered passed.
A refactored example:
- ///
- /// Testing exception handling
- ///
- [Test]
- publicvoid WhateverTestName()
- {
- // Arrange
- var sut = newSystemUnderTest();
- // Act
- // Assert
- Assert.Throws<ArgumentNullException>(() => sut.MethodThatThrowsEception());
- }
Now, instead of using the ExpectedException, I use Assert.Throws<>(). This provides a number of benefits / advantages:
- Readability
- The test is now more readable, the reader is not in doubt of where in the code the exception is expected to be thrown. Furthermore, the ExpectedException attribute is easily overseen, which makes it difficult to understand what the intent of the test is.
- Multiple conditions
- It is possible to test other conditions. Using the ExpectedException you cannot test anything else than the whether the exception is thrown.
- Possible false expectation
- Setting the ExpectedException on a test case, makes it open to be passed whenever an exception of the given type is thrown inside the test. This could lead to some serious and unforeseen side-effects.


Jobfitt
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About
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Trends
Data
Total Occupation Growth 2016 and projected 2026(Numbers in thousands)
Occupation
vs
Totals
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Largest Growing Occupations,2016 and projected 2026(in 1000's)
Largest Declining Occupations,2016 and projected 2026(in 1000's)


Judges 6:12
And the angel of the LORD appeared unto him, and said unto him, The LORD is with thee, thou mighty man of valor.


{% extends "page.html" %} {% block login_widget %} {% endblock %} {% block main %}
System is stable to login to your enviroment please click on the button below
Should you be experiencing any difficulties, have any questions or have a thought on how we can improve The Brain please feel free to reach out to us
Contact UsThe Brain is a portable cloud environment designed to help with the data and analytics functions required to purchasing media. Included in your environment is a Jupyter notebook server per user along with a Postgres database with MADLIB.net extention.
Included in this deployment are the following tools:
The following are useful links to help you get the most out of The Brain
A tutorial on how to use interactive notebooks and configure your environment Notebooks for Dummies
A crash course in SQL
A crash course in Python
A crash course in R
A crash course in Julia


I am a student at the University of Ottawa Go gee gees go 🐴, studying Honours BSc with Specialization in Computer Science 🖥.
I am currently an intern in the Trust RnD 🛡 team at Shopify .
I am passionate about b(uilding|reaking) things 🛠🔥, solving security problems🚨, shipping code 🚢, Capture the Flag (CTF)🚩☠ and vim. On a side note I love laptop stickers 😜 . To see all my projects, please checkout my GitHub.


Step 1: Search for the product you need to buy in one of the ways
Step 2: Refer to and choose the right product. Some information to know when choosing a product:
Step 3: Select the product
Step 4: Use a discount code
Step 5: Check and pay


First look at Coleen Rooney's adorable family Christmas album
Coleen used a Liverpool photographer to get the festive photo
by Sophie McCoidColeen Rooney has shared magical photos of her four sons - just in time for Christmas.
Coleen shared several adorable snaps of her sons Kai, Kit, Klay and Cass-Mac dressed in personalised Christmas pyjamas from Pretty Personal Gifting.
In the photos they boys look like they've taken a trip to Santa's workshop - with the big man even making an appearance in several of the shots.
The photos were captured by Liverpool-based Gracie Kellie Photography, which also gave the ECHO permission to share them, with Coleen using the same photographer for her Christmas photoshoot last year.
Sharing them to Instagram Coleen said: "In Love @gracekelliephotography these are amazing!!! Thank you so much, you are brilliant with the kids. Thanks for the gorgeous pj’s @prettypersonalgifting ."
And her followers were quick to comment on the adorable photos.
lauraclegg1979 said: "So beautiful, all the boys are gorgeous."
mrslrod said: "This is so lush."
shields53 said: "Wow stunning pics."
And angelarankinestevens said: "Omg cute overload."
Coleen is enjoying being back in the UK, after previously relocating to Washington DC for husband Wayne's footballing career.
But the family have now moved back to to England, with Coleen loving being surrounded by her family and friends again.
The family recently went trick or treating round Liverpool, dressed in cute costumes.
And Coleen and Wayne enjoyed a date night with their friends , with Coleen saying it had "been a while."


Firefighters save man's house, apologize for drinking his milk
by Wade SheridanNov. 13 (UPI) -- Firefighters in Australia have gained attention for leaving a note apologizing for drinking a man's milk after they saved his house from a wildfire.
Paul Sekfy of New South Wales posted the handwritten note on Facebook which was signed by the Urunga Rural Fire Service.
"It was our pleasure to save your house. Sorry that we could not save your sheds," the note said.
Firefighter Hardie-Porter was a part of the team sent to the house and told CNN that he and the other firefighters took some milk due to not having eaten anything for hours.
Sekfy noted that the firefighters also had cheese and peanut butter, which he is okay with.
"They don't have to pay back the milk, I'll just sort them a couple of cases of beer," he said.
(0) Leave a comment
upi.com/6957741
Latest Headlines
Odd News // 14 hours ago
Man wins $50K on Powerball ticket he thought was worth $4
Nov. 13 (UPI) -- James Rogers of Wisconsin became the $50,000 Powerball winner after he re-checked his lottery ticket he thought was worth only $4.
Odd News // 16 hours ago
Man to attempt human flight suit record on Guinness World Record Day
Nov. 13 (UPI) -- Richard Browning will be attempting to break his record for the fastest speed in a body controlled jet engine powered suit on Guinness World Records Day.
Odd News // 18 hours ago
Escaped emu returned to owner in British town
Nov. 13 (UPI) -- An escaped emu who was on the run in Camrose, Pembrokeshire, has been returned to its owner Mark Boulcott of Herbrandston & Narberth Dental Health Practices.
Odd News // 1 day ago
New York family helps trapped deer escape from covered pool
Nov. 12 (UPI) -- A New York family came to the rescue of a deer that fell into a large backyard pool and got stuck under the cover.
Odd News // 1 day ago
Fireball lights night sky over Missouri, Midwest
Nov. 12 (UPI) -- A fireball that lit up the night sky over St. Louis, Mo., was likely debris from the South Taurids meteor shower, experts said.
Odd News // 1 day ago
Coyote with plastic tub stuck on head rescued in Ontario
Nov. 12 (UPI) -- A coyote that had been wandering for several days with its head stuck inside a plastic tub was rescued by authorities in Ontario.
Odd News // 1 day ago
Maryland man collects second big lottery prize in two years
Nov. 12 (UPI) -- A Maryland Lottery player followed up a big win two years ago with a $50,000 jackpot from a scratch-off ticket.
Odd News // 1 day ago
Job posting offers $1,000 to shop local for the holidays
Nov. 12 (UPI) -- A small business services website posting a job opening for someone seeking to make $1,000 by doing all of their holiday shopping locally.
Odd News // 1 day ago
335-foot-long carnitas taco breaks Guinness record in Mexico
Nov. 12 (UPI) -- A Mexican state captured a Guinness World Record by cooking up a carnitas taco measuring 335 feet long.
Odd News // 1 day ago
Owner warns of emu on the loose in British town
Nov. 12 (UPI) -- A British business owner is asking neighbors to keep an eye out for an emu that escaped from a field where five more of the Australian birds live.


Infomaster Tutorial
Lesson 10: Pragmatics
10.* Performance
10.* Scaling
10.* Reliability
10.* Multiple Formats
10.* Unstructured Data
(c) Copyright 1997-2003 by
Michael Genesereth
. All rights reserved.


Configuraton like ~/.aws/config file
(support color = RRGGBB)
#
About ~/.aws/config file
Save
Read me
Hide original role history


{% extends 'base.html' %} {% block content %} {% include 'navbar.html' %}
About this game that is under construction


Welcome to Hakz' Universe
Remember to subscribe, like, share and comment what you want to see on my youtube channel.
This is the logo that i will be using for this video.
Have a wonderful day
Remember to subscribe, like, share and comment what you want to see on my youtube channel.
This is the logo that i will be using for this video.
Have a wonderful day


Preparation time
over 2 hours
Cooking time
1 to 2 hours
Serves
Serves 4
Dietary
This dessert takes time, but the flavours are wonderful and everything can be made in advance.
For the mint chocolate cremosa, in a large saucepan bring the milk, cream and mint to a boil. Remove from the heat and set aside to infuse for 15 minutes.
Bring a saucepan of water to the boil and place a heatproof bowl over the top (do not allow the bowl to touch the water). Add the chocolate. When melted, remove from the heat.
In a large bowl, whisk the egg yolks and sugar together until pale and ﬂuffy. Pour half the milk infusion over the yolk mix and whisk to fully incorporate. Add the remaining milk mixture and whisk together.
Pour 1 litre of the custard into a measuring jug and pour this onto the melted chocolate, whisking all the time until incorporated. Cover the surface with cling film to prevent a skin forming and place in the fridge for 4 hours to set.
For the raspberry purée, wash and dry the raspberries then place 250g/9oz in a medium saucepan with the icing sugar, vanilla and 2 tablespoons water. Place over a medium heat and bring to a simmer, stirring frequently. When the raspberries are soft, remove from the heat and transfer to a blender. Blend until smooth, then pass through a sieve. Reserve in fridge until needed.
For the chocolate soil, preheat the oven to 160C/140C Fan/Gas 3.
Sieve the sugar, almonds, ﬂour, cocoa powder and salt together into the bowl of a freestanding mixer. Add the melted butter and mix on a low-medium speed for 3-4 minutes, or until smooth.
Spread the mixture on to a baking tray lined with non-stick paper. Bake for 15 minutes. Remove from the oven and leave to cool completely.
Once completely cooled, blend to a ﬁne crumb in a food processor. Store in an air tight container and use within 2 weeks.
For the dressed raspberries, mix all the ingredients together.
To serve, drizzle some of the raspberry sauce onto a serving plate and top with a quenelle of the cremosa. Garnish with the dressed raspberries and chocolate soil.


Custom Fonts
This font was designed using adobe illustrator and created with
Fontastic
CSS mapping
Character mapping


- Local authority reference: 0930/09139385080004
- Property: OLD MILL CAFE, COAST ROAD, BARDSEA, ULVERSTON, CUMBRIA, LA12 9RB
{{title}}
You can add parking spaces and areas for your property.
Parking should only be recorded once, as either spaces or areas. If there are marked spaces you should count them. If there are no marked spaces you should measure the area.
You can record your parking as a combination of spaces and areas so long as they relate to different sections of parking. Recording the same section of parking as both spaces and areas may result in the parking being counted twice.
A marked parking space is assumed to be 20 square metres. If you have any spaces which are larger or smaller than this (for example a parking space for a lorry), please enter the total number of spaces and provide more details in your supporting documents.
You’ll need to select whether the parking is covered or uncovered. You’ll also need to select whether the parking is surfaced (for example concrete) or unsurfaced (for example grass or gravel).
Back


grid5
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grid12
Multi column
grid4-12
grid5-12
grid3-12
grid2-12
grid4-12
grid3-12
grid3-12
"grid1-12
grid5-12
grid3-12
grid2-12
grid1-12
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percentage
No Responsive
grid5
grid5
grid5
grid5
grid5
grid4-12
grid5-12
grid3-12
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No Spacing
grid1-12
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grid1-12


Your browser does not support the canvas tag. What are you using, internet explorer? Get a real browser.
JavaScript is required to view the contents of this page. Please enable it.
Times are only accurate within 10 seconds if your computer is synced with atomic time.


DVSL : Declarative XML Transformation and Templating
DVSL (Declarative Velocity Style Language) is a tool modeled after
XSLT and is intended for general XML transformations using the
Velocity Template Language as the templating language for the
transformations. The key
differences are that it
incorporates easy access to Java objects and allows you to use
the Velocity template language and it's features for expressing the
transformation templates.
Similarities to XSLT
DVSL steals two of the best features of XSLT:
-
It uses a declarative syntax like XSLT.
-
Document control and selection is based on XPath.
Differences From XSLT
DVSL differs from XSLT in a few ways
-
DVSL's template language is Velocity, so conventional Velocity syntax is
used to get and set data, to perform looping and flow control, etc. All
features of VTL are available.
-
Because DVSL is based on Velocity, it offers a very tight binding to
Java objects. This means that it's easy to access other data sources
from within the DVSL stylesheet, using conventional method call syntax,
allowing you to integrate, collect, and
transform with and to outside data like databases, calculation libraries, etc
Current Status
DVSL is now mature and usable in production environments.
Nightly Snapshots
Nightly snapshots of the DVSL Subversion are available
here.
Subversion Access
Access to the DVSL Subversion repository is available :


T
rip
Looking for a ride?
Trip can get you wherever you need to go.
I need a Ride
I can be of Service


A demonstration which shows one way of integrating Shiro security with App Engine and Google Guice.
Front end user registration and password management is also provided in as minimalistic a fashion as we could manage
New! Sign in with Google or Facebook accounts.
We provide a Shiro Realm which works with the App Engine datastore via Objectify. Caching comes via App Engine's memcached service.
Shiro's AOP features, specifically the method annotations, work with Guice. Otherwise Shiro configuration is done with the Shiro ini file.
Sign in as admin or user,
register with an Email address,
forget or change your password,
suspend users as an administrator,
and now login with Google or Facebook accounts.
You can sign in from the link at the top right. There is a built-in account you
can user<EMAIL_ADDRESS>.
It has password pass
. The zenith
account is a normal user account.
You can also register for an account. You need to provide an Email which you control for this as a registration code will be sent to this Email address. Once you're registered you can use this account, unless someone suspends it.
If you forget your password you can reset it. An email is sent to you with a code and a link. Either enter the code or follow the link to do the reset.
For convenience we allow users to log in with Google or Facebook accounts. In each case we grab the Email address, but no registration is required. Its straightforward to add other OAuth 2 providers, in addition to Facebook. Note that the token is invalidated as soon as we've read the Email address. This increases security, but its an odd use of OAuth.
In practice all the URLs must run under HTTPS
, since passwords are contained in the
HTTP requests, and since we use Ajax calls where going from HTTP
to HTTPS
,
which is cross-domain, is not allowed. This demo uses HTTPS
throughout.
App Engine is great
but quirky
and doesn't come with a general authentication and authorization service.
Shiro is good for this and we've done the needed porting, and
provided some simple user management.
Guice is used to glue things together
even though it slows down startup.
App Engine is a remarkable achievement. You can create a small free website and scale it indefinitely with almost no ongoing administration required. A wide range of useful services are available out of the box, with almost no set-up or maintenance needed.
With scalability comes a set of restrictions and limitations. Interfaces are non-standard: in particular you don't get SQL (its coming), so persistent storage and retrieval are 'different'. Application instances are started on demand, so startup must be rapid. Startup is a particular challenge for Java which is known to initialize with the alacrity of a drowsy snail. App Engine charges for resources so you need to be careful to minimise use.
There is a Google accounts service, but this can't be used for an application used by a wider public, who don't have or don't want use a Google login. Even with a user service many sites also need a permissions system to decide who gets to access what.
Shiro is a lightweight system for Authentication and authorization. Startup on App Engine for Shiro seems to be about 1 second (on top of other components of course), which is faster than for a heavier stack such as Spring Security. The shorter the startup the easier it is to scale an app by adding new instances in response to demand. So, Shiro is a good fit with App Engine and its worth making the adaptation to the Datastore and Memcached services.
If you're not using the built-in authentication system for Google email addresses then you'll likely want a basic system for user password management. Even if your preference is for a federated login you'll probably still need your own system for those users that don't want to use or can't use the federated system. This sample provides a basic password management system which can easily be extended, or used as-is
The fastest way to run App Engine is with basic servlets run from web.xml
.
This can be quite painful, so we're using Google Guice. Guice is a lightweight dependency
injection framework with an extension for web applications and it makes wiring an application
together much simpler.
Although Guice is considered to be lightweight (compared to Spring) it does slow down the startup of the application. This is because Guice does its wiring at startup, so pretty-much all your code will be loaded at once. With plain servlets you may be able to load classes incrementally. It is possible to use Guice without its AOP features, which slow down startup, but we've chosen to go with the whole package to show the use of Shiro annotations which require AOP.
This demonstration uses a simple trick to make the startup seem faster by using a static HTML page as the home page and performing an Ajax call from Javascript to do the initialization. Some crufty animation on load takes your attention away from the 5 second start-up delay! The startup page is generated from FreeMarker templates, just as the other pages, but at compile time, rather than runtime
We have adapted realms and caches./p>
Objectify is used to interface to the datastore
In memory caches are combined with memcached to keep things fast and cheap.
The Shiro components which need to be adapted to App Engine are realms, the cache and the AOP-based annotations. If the annotations aren't required then they can be eliminated and startup time will be reduced.
To create a new realm only two methods need to be implemented, namely:
AuthenticationInfo doGetAuthenticationInfo(AuthenticationToken token) AuthorizationInfo doGetAuthorizationInfo(PrincipalCollection principals)
The only sort of token handle is the UsernamePasswordToken
, so
the principal and credentials are simple strings, in our case a user's email
address and password. We use an email address as the user's identifier since we
need it anyway to change passwords securely.
It is possible to set up users in the IniRealm
and it makes sense
to use this with our new realm -- the IniRealm
is a good place to stash
the administrator login for example. Our DatastoreRealm
needs to be able to
store an unlimited number of users persistently, so we need the datastore for
this. Rather than using the raw datastore service we use Objectify which
is a well designed and lightweight layer on top of the datastore, which just
removes the rough edges without hiding the datastore structure.
Implementation of the DatastoreRealm
is via a user object, GaeUser
,
which is keyed on the email address and has a single indexed field - the registration date.
Using the email as the key means that lookup will be fast and cheap.
We have also implemented a Shiro-compatible cache, based on memcached. The cache expiry has been set to 5 minutes which should limit any consistency problems.
Since the DatastoreRealm
is a singleton in each JVM, and since although memcached
saves on datastore resources it is slow, we also include an in-memory cache in the realm, which
is of limited size and evicts after 5 minutes, but is fast. A combination of in-memory
and memcached caches is the best way to limit hits to the data store and to minimize the
overall cost and the number of instances we need,
Another database object we use is a RegistrationString
, which contains a one-shot code
which is sent to users by email to allow them to (a) register and (b) change passwords. This code
is time-limited so that archived emails don't cause a problem.
The final database object is a counter to keep track of the number of users we have. Its too inefficient to count users when the number is large so a counter is needed. We don't expect the counter to be changed very often (not more than once a second) so there's no need for fancy tricks like sharding.
Users can register, choose to change password and reset a forgetten password
One-time. limited duration, tokens are used to provide links to unsecured change pages.
Registration and password change use essentially the same flow
In an ideal world applications such as our would not need to do password management. Even though there are now a variety of identity providers, not all users will want to use them. So, as a fallback applications must provide traditional password management.
This sample provides the basics packaged so that anyone working with App Engine can incorporate it relatively simply, although presentational changes will be required.
In describing the flow we use relative URLs to describe processes controlled by servlets.
/register.ftl
URL. This loads a page with a registration form.
The form contains an email field.
/register
. This is done using Ajax so we stay on the same
page. An email message is sent to the user at the provided address. The email contains a code
and a link. The user can either
enter the code and the desired password on the page or click the link in the sent email and
enter the code and password at the page which comes up.
In either case
we post or get to the /confirm
URL with the code as a parameter.
The control flow for a forgotten password is similar to that for registration with two slight differences.
As well as Guice and Shiro
the demo also uses Bootstrap from Twitter for its CSS framework
Freemarker for templating.
and the megalicious scribe
library to do OAuth.To provide a complete demo requires HTML pages. We're using Bootstrap as the CSS framework (it actually uses less to create CSS) which makes well laid out sites easy for those of us with no layout skills.
The HTML pages are organised using the Freemarker templating language. The index.html
main page for example (this one) is pre-generated using Freemarker to avoid a wait while App Engine spins
up an instance. This uses the Maven plugin for FMPP,
the Freemarker pre-processor
OAuth for the social login is done with scribe
which makes a complicated process incredibly
simple. Heartily recommended.
All the administrative logic is done using jQuery's Ajax features. This is intended to decouple the login from the presentation if we wish to produce a mobile version of this demo, which will require different layouts. We also do some caching in JavaScript to minimise round trips to the server to determine login status. This doesn't compromise the server-side security but speeds things up and helps bring down App Engine's costs.
The com.cilogi.shiro.gae
and com.cilogi.shiro.aop
packages should
be easily re-usable. There are dependencies on Shiro, Objectify and Guava. The Guava
dependency could be removed with a little effort, Objectify somewhat more.
The servlets in com.cilogi.shiro.web
have parameters hard-wired and no
I18N for strings, but the logic is re-usable.
Note that to use Facebook you need to register a Web App with Facebook and put the keys in
src/main/resources/social.properties
. The file will look something like this:
fb.local.apiKey=*your key here* fb.local.apiSecret=*your secret here* fb.local.host=http://localhost:8080 fb.live.apiKey=*your key here* fb.live.apiSecret=*your secret here* fb.live.host=http://gaeshiro.appspot.com
We find it useful to register two apps, one to run locally in the dev server, and one to run in production. Hence the local and live keys.
The image of the lock is by renaissancechambara
Social authentication with Google and Facebook
Friends
You can log in with Google or Facebook
We use OAuth 2 for both Google and Facebook authentication. Google not so hot, Facebook better. Facebook even does re-authentication.
Its a lot easier for users if they don't have to go through the hassle of registration, and remember a password for yet another application. So, we've set things up to allow Google and Facebook login. The implementation is reasonably generic and can easily be extended to other providers, such as Yahoo!, LinkedIn and so on. There is work involved I'm afraid as one needs to get credentials from each provider. Also, you are restricted as to the website on which you can use any particular set of credentials.
With Google if you're already logged in with the browser, you will find that you don't get the opportunity to choose the account you want to use -- you're logged in immediately with the account you came with. Similarly there is no way to force re-authentication.
We tried Google authentication with the built-in user service. This didn't work very well either -- same problems, so it makes sense to use OAUth. If you only need Google then we've left the code present and you wouldn't need to load the
scribe
library and hte OAuth adaption code.Facebook login, which uses OAuth, words better. You always get to see the initial screen asking for permission, and you can force re-authentication.
We had to make some additions to get
scribe
to work with Google and OAuth2, so some work may be necessary for other providers. The parameters you need are not the same in each case, and the return JSON is not uniform so has to be adapted for each provider.We're only considering services which provide a user email, on the principle that if some problem occurs with the provider we can still service these users by registering them in the normal way. Of course people change their Emails, but in this case its one at a time, not a whole class at once, and for our applications not a huge issue.


Click the button below to generate a random mix of two colors with their respective HEX codes.
background: linear-gradient(to right, #
ffffff
, #
ffffff
);
Click Here !


--- layout: post status: publish published: true title: Building a Query String from a Hash with Rails 3 author: display_name: redconfetti login: redconfetti email<EMAIL_ADDRESS>url: '' author_login: redconfetti author_email<EMAIL_ADDRESS>wordpress_id: 176 wordpress_url: http://rails.redconfetti.com/?p=176 date: '2011-10-19 14:35:09 -0700' date_gmt: '2011-10-19 21:35:09 -0700' categories: - prerequisites tags: [] comments: [] ---
I have a model has a method that generates and stores a cached link to it's own view for use in mailers. Under Rails 2 the method which generated this link created the beginning of the URL based on the owner of the object (this is a multi-domain system I'm working on), however it required that a hash of parameters be included in the link.
Under Rails 2 the 'options' hash would be passed to build_query_string inside of my method like so:
params = ActionController::Routing::Route.new.build_query_string(options)
Under Rails 3 I receive this error:
wrong number of arguments (0 for 7)
It turns out that under Rails 3 the Hash library includes a to_query method.
irb(main):001:0> h = {:blah => '1', :blah2 => '2'} => {:blah=>"1", :blah2=>"2"} irb(main):002:0> h.to_query => "blah2=2&blah=1"
Thanks to mjrussel for posting this on StackOverflow.


This test-case is intended for Issue #2558
- Function arguments not expandable in watch panel even though the object is array-like.
Jan Odvarko<EMAIL_ADDRESS>Open Firebug
Enable the Script panel
Press Execute Test button.
Firebug should stop at debugger keyword.
Type arguments in to the Watch panel and press enter.
If you expand the value, you should see: 1,
"omni",
3


- REPORTS_FXML - Static variable in class pl.pizza.pub.controllers.LoginFormForReportsController
-
- REPORTS_ORDERS_LIST_FXML - Static variable in class pl.pizza.pub.controllers.ReportsTopController
-
- REPORTS_SALE_LIST_FXML - Static variable in class pl.pizza.pub.controllers.ReportsTopController
-
- ReportsController - Class in pl.pizza.pub.controllers
-
Controller class of Reports.fxml
- ReportsController() - Constructor for class pl.pizza.pub.controllers.ReportsController
-
- ReportsOrdersListController - Class in pl.pizza.pub.controllers
-
Controller class of ReportsOrdersList.fxml
- ReportsOrdersListController() - Constructor for class pl.pizza.pub.controllers.ReportsOrdersListController
-
- ReportsSaleListController - Class in pl.pizza.pub.controllers
-
Controller class of ReportsSaleList.fxml
- ReportsSaleListController() - Constructor for class pl.pizza.pub.controllers.ReportsSaleListController
-
- ReportsTopController - Class in pl.pizza.pub.controllers
-
Contains top buttons of Reports scene
- ReportsTopController() - Constructor for class pl.pizza.pub.controllers.ReportsTopController
-
- Role - Class in pl.pizza.pub.database
-
Mapping role table from database
- Role() - Constructor for class pl.pizza.pub.database.Role
-
- Role(int, String) - Constructor for class pl.pizza.pub.database.Role
-
- RoleFx - Class in pl.pizza.pub.models
-
Properties class of Role
- RoleFx() - Constructor for class pl.pizza.pub.models.RoleFx
-
- RoleModel - Class in pl.pizza.pub.models
-
Class used to perform tasks associated with the Roles table
- RoleModel() - Constructor for class pl.pizza.pub.models.RoleModel
-
- roleProperty() - Method in class pl.pizza.pub.models.EmployeesFx
-
Gets role property of EmployeesFx
- roleProperty() - Method in class pl.pizza.pub.models.RoleFx
-
Gets role property of Role


{% extends 'base.html' %} {% block title %}Salt and Sauce{% endblock %} {% block content %}
What is the best thing to do with a potato?


Debug is a free, innovative tool to help farmers maximize their yields and make their pesticide use more effective.
Farmers rely heavily on crop yields as their main source of income. However, many pests can get in the way of optimal production yields. Pesticides are the best choice for eliminating pests, but if used inefficiently, there are negative consequences such as:
Unfortunately, these effects worsen each year, causing farmers to lose thousands of dollars. On average, farmers spend around $21,000 on pesticides alone as of 2019.
Debug strives to solve all of these issues by helping farmers identify insects in their fields, classify them as beneficial or harmful, and provide customized recommendations for pesticides depending on the harmful pests present.


Stories
Using her mind
When she was 5, Meka Williams lost her mother to suicide. When she was 8, her father went to prison.
The little girl and her two siblings were taken in by an aunt, who raised them in a cramped apartment in Inglewood, Calif. Gun violence and jail stole some of her friends and, if her freshman year of high school was any indication, it didn't seem likely Williams would go to college.
But thanks to her aunt, high school mentors, and a drive that rose up inside her like a hunger, Williams is now a sociology major at Stevenson College and plans to graduate in two years.
The 19-year-old wants to start her own business and become a television personality one day, but right now she is concentrating on getting the most out of her time at UC Santa Cruz.
One of her most unforgettable lessons, she said, came from a sociology teacher who told Williams's class that if they wanted to make money, they needed to use their minds.
"It made me realize I have the opportunity to make my life different," Williams said of that unforgettable lecture. "I was going to have to think hard, work hard, and be creative."
Williams does work hard. She not only has two jobs — one mentoring high school students and another connecting foster youth with university resources — but she also is a mentor at the Rosa Parks African American Theme House.
She also receives financial aid and support from the campus's Educational Opportunity Programs and the Smith Renaissance Society, which assists independent students who are current or former foster youth, runaways, juvenile offenders, orphans, or homeless youths.
The society is led by a board of UCSC alumni, including Smith Renaissance graduates, and retired faculty and staff.
"I came to UCSC with only sheets, a blanket and my clothes," Williams said. "Smith Renaissance gave me a computer."
The program also provides her with critical support and mentoring.
With plans to launch a political web site for young people who aren't in college, Williams is only looking forward.
"UCSC has allowed me to challenge myself," she said, "to go beyond my degree."


ZeroMQ Driver Deployment Guide¶
Introduction¶
0MQ (also known as ZeroMQ or zmq) is embeddable networking library but acts like a concurrency framework. It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It’s fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multi-core applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems.
Originally the zero in 0MQ was meant as “zero broker” and (as close to) “zero latency” (as possible). Since then, it has come to encompass different goals: zero administration, zero cost, and zero waste. More generally, “zero” refers to the culture of minimalism that permeates the project.
More detail regarding ZeroMQ library is available from the specification.
Abstract¶
Currently, ZeroMQ is one of the RPC backend drivers in oslo.messaging. ZeroMQ can be the only RPC driver across the OpenStack cluster. This document provides deployment information for this driver in oslo_messaging.
Other than AMQP-based drivers, like RabbitMQ, ZeroMQ doesn’t have any central brokers in oslo.messaging, instead, each host (running OpenStack services) is both ZeroMQ client and server. As a result, each host needs to listen to a certain TCP port for incoming connections and directly connect to other hosts simultaneously.
Another option is to use a router proxy. It is not a broker because it doesn’t assume any message ownership or persistence or replication etc. It performs only a redirection of messages to endpoints taking routing info from message envelope.
Topics are used to identify the destination for a ZeroMQ RPC call. There are two types of topics, bare topics and directed topics. Bare topics look like ‘compute’, while directed topics look like ‘compute.machine1’.
Scenario¶
Assuming the following systems as a goal.
+--------+
| Client |
+----+---+
|
-----+---------+-----------------------+---------------------
| |
+--------+------------+ +-------+----------------+
| Controller Node | | Compute Node |
| Nova | | Neutron |
| Keystone | | Nova |
| Glance | | nova-compute |
| Neutron | | Ceilometer |
| Cinder | | |
| Ceilometer | +------------------------+
| zmq-proxy |
| Redis |
| Horizon |
+---------------------+
Configuration¶
Enabling (mandatory)¶
To enable the driver the ‘transport_url’ option must be set to ‘zmq://’ in the section [DEFAULT] of the conf file, the ‘rpc_zmq_host’ flag must be set to the hostname of the current node.
[DEFAULT]
transport_url = "zmq://"
[oslo_messaging_zmq]
rpc_zmq_host = {hostname}
Match Making (mandatory)¶
The ZeroMQ driver implements a matching capability to discover hosts available for communication when sending to a bare topic. This allows broker-less communications.
The MatchMaker is pluggable and it provides two different MatchMaker classes.
MatchmakerDummy: default matchmaker driver for all-in-one scenario (messages are sent to itself; used mainly for testing).
MatchmakerRedis: loads the hash table from a remote Redis server, supports dynamic host/topic registrations, host expiration, and hooks for consuming applications to acknowledge or neg-acknowledge topic.host service availability.
For ZeroMQ driver Redis is configured in transport_url also. For using Redis specify the URL as follows:
[DEFAULT]
transport_url = "zmq+redis://<IP_ADDRESS>:6379"
In order to cleanup redis storage from expired records (e.g. target listener goes down) TTL may be applied for keys. Configure ‘zmq_target_expire’ option which is 120 (seconds) by default. The option is related not specifically to redis so it is also defined in [oslo_messaging_zmq] section. If option value is <= 0 then keys don’t expire and live forever in the storage.
MatchMaker Data Source (mandatory)¶
MatchMaker data source is stored in files or Redis server discussed in the previous section. How to make up the database is the key issue for making ZeroMQ driver work.
If deploying the MatchmakerRedis, a Redis server is required. Each (K, V) pair stored in Redis is that the key is a base topic and the corresponding values are hostname arrays to be sent to.
HA for Redis database¶
Single node Redis works fine for testing, but for production there is some availability guarantees wanted. Without Redis database zmq deployment should continue working anyway, because there is no need in Redis for services when connections established already. But if you would like to restart some services or run more workers or add more hardware nodes to the deployment you will need nodes discovery mechanism to work and it requires Redis.
To provide database recovery in situations when redis node goes down for example, we use Sentinel solution and redis master-slave-slave configuration (if we have 3 controllers and run Redis on each of them).
To deploy redis with HA follow the sentinel-install instructions. From the messaging driver’s side you will need to setup following configuration
[DEFAULT]
transport_url = "zmq+redis://host1:26379,host2:26379,host3:26379"
Restrict the number of TCP sockets on controller¶
The most heavily used RPC pattern (CALL) may consume too many TCP sockets on controller node in directly connected configuration. To solve the issue ROUTER proxy may be used.
In order to configure driver to use ROUTER proxy set up the ‘use_router_proxy’ option to true in [oslo_messaging_zmq] section (false is set by default).
For example:
use_router_proxy = true
Not less than 3 proxies should be running on controllers or on stand alone nodes. The parameters for the script oslo-messaging-zmq-proxy should be:
oslo-messaging-zmq-proxy
--config-file /etc/oslo/zeromq.conf
--log-file /var/log/oslo/zeromq-router-proxy.log
--host node-123
--frontend-port 50001
--backend-port 50002
--publisher-port 50003
--debug True
Command line arguments like host, frontend_port, backend_port and publisher_port respectively can also be set in [zmq_proxy_opts] section of a configuration file (i.e., /etc/oslo/zeromq.conf). All arguments are optional.
Port value of 0 means random port (see the next section for more details).
Fanout-based patterns like CAST+Fanout and notifications always use proxy as they act over PUB/SUB, ‘use_pub_sub’ option defaults to true. In such case publisher proxy should be running. Actually proxy does both: routing to a DEALER endpoint for direct messages and publishing to all subscribers over zmq.PUB socket.
If not using PUB/SUB (use_pub_sub = false) then fanout will be emulated over direct DEALER/ROUTER unicast which is possible but less efficient and therefore is not recommended. In a case of direct DEALER/ROUTER unicast proxy is not needed.
This option can be set in [oslo_messaging_zmq] section.
For example:
use_pub_sub = true
In case of using a proxy all publishers (clients) talk to servers over the proxy connecting to it via TCP.
You can specify ZeroMQ options in /etc/oslo/zeromq.conf if necessary.
Listening Address (optional)¶
All services bind to an IP address or Ethernet adapter. By default, all services bind to ‘*’, effectively binding to <IP_ADDRESS>. This may be changed with the option ‘rpc_zmq_bind_address’ which accepts a wildcard, IP address, or Ethernet adapter.
This configuration can be set in [oslo_messaging_zmq] section.
For example:
rpc_zmq_bind_address = *
Currently zmq driver uses dynamic port binding mechanism, which means that each listener will allocate port of a random number (static, i.e. fixed, ports may only be used for sockets inside proxies now). Ports range is controlled by two options ‘rpc_zmq_min_port’ and ‘rpc_zmq_max_port’. Change them to restrict current service’s port binding range. ‘rpc_zmq_bind_port_retries’ controls number of retries before ‘ports range exceeded’ failure.
For example:
rpc_zmq_min_port = 9050
rpc_zmq_max_port = 10050
rpc_zmq_bind_port_retries = 100
DevStack Support¶
ZeroMQ driver has been supported by DevStack. The configuration is as follows:
ENABLED_SERVICES+=,-rabbit,zeromq
ZEROMQ_MATCHMAKER=redis
In local.conf [localrc] section need to enable zmq plugin which lives in devstack-plugin-zmq repository.
For example:
enable_plugin zmq https://github.com/openstack/devstack-plugin-zmq.git
Example of local.conf:
[[local|localrc]]
DATABASE_PASSWORD=password
ADMIN_PASSWORD=password
SERVICE_PASSWORD=password
SERVICE_TOKEN=password
enable_plugin zmq https://github.com/openstack/devstack-plugin-zmq.git
OSLOMSG_REPO=https://review.openstack.org/openstack/oslo.messaging
OSLOMSG_BRANCH=master
ZEROMQ_MATCHMAKER=redis
LIBS_FROM_GIT=oslo.messaging
ENABLE_DEBUG_LOG_LEVEL=True


Calculate percentiles with all samples stored using definition 8 (proposed as a standard sample quantile definition by Hyndman and Fan).
.Copyright © 2022 Michael Truog
Version: 2.0.5 Jun 20 2023 18:35:41 ------------------------------------------------------------------------
Authors: Michael Truog (mjtruog at protonmail dot com).
Calculate percentiles with all samples stored using definition 8 (proposed as a standard sample quantile definition by Hyndman and Fan).
The 50% percentile is the median.
Rob J. Hyndman, Yanan Fan. Sample Quantiles in Statistical Packages. American Statistician, vol. 50, no. 4, pp. 361–365, American Statistical Association, 1996-11.state() = #percentiles{n = non_neg_integer(), samples = [number()]}
| add/2 |
Add a sample for computing percentiles.. |
| add_from_list/2 |
Add samples from a list for computing percentiles.. |
| calculate/2 |
Calculate percentiles from the samples previously added.Percentiles must be provided in ascending order and be in the range (0.0 .. |
| count/1 |
Count of samples previously added.. |
| merge/2 |
Merge percentiles state.. |
| new/0 |
Create percentiles state.. |
calculate(Percentiles::[float(), ...], State::state()) -> [float(), ...] | undefined
count(State::state()) -> non_neg_integer()
new() -> state()
Generated by EDoc


‘Makoa,’ a recently weaned monk seal pup, found dead
by HNN StaffHONOLULU, Hawaii (HawaiiNewsNow) -NOAA officials say a male monk seal pup named Makoa has died.
He was found dead on Oahu’s North Shore the morning of Nov. 9.
Makoa, also tracked as RL36, was a recently weaned pup.
Experts were unable to determine the cause of death from the initial necropsy. They are now testing tissue samples. Because of the ongoing test, experts have not said if human interaction is suspected.
The pup’s mother is the monk seal known as “Honey Girl.”
“RL36 was born to well-known seal R5AY and was given his nickname, which means fearless or brave, by local elementary school children,” officials said.
Officials also recently released details on the death of another monk seal, RL76, who recently died.
[ Read more: Necropsy reveals cause of death for a monk seal pup born at Kalaupapa ]
Copyright 2019 Hawaii News Now. All rights reserved.


About
This is an amalgamation of old lectures, notes, and short pearls picked up from the wards.
Setup
The setup for this website included:
- Built using Jekyll
- Based on Poole with the Hyde theme
- Version control managed by Git and Github
- Hosted through Github Pages
- Research and data gathering done through Evernote, the backup brain
- Heavily developed using Vim, the text editor that works
- Citations managed by Mendeley


{% load static %}
{% include "helper/header.html" %}
Calculators
{% include "helper/headermenu.html" %}
Home Page
This is the Home Page


Add some gold.
Look what I'm dealing with, man. I'm dealing with fools and trolls.  Well, no, and you never will! Stop trying! Just sit back and enjoy the show.
I am on a drug. It's called Charlie Sheen. It's not available.
It's being directed and written by a genius named David Ward who, I don't know, won the Academy Award at 23 for writing The Sting? It was his pen and his vision that created the classic that we know today as Major League. In fact, a lot of people think the movie's called Wild Thing, as they should. Whatever … If they want me in it, it's a smash. If they don't, it's a turd that opens on a tugboat.
I tried marriage. I'm 0 for 3 with the marriage thing. So, being a ballplayer — I believe in numbers. I'm not going 0 for 4. I'm not wearing a golden sombrero.
To the top, please!


Offensive Plays:
Slant Route:
A slant route is where a receiver runs 5 yards forward then slants 45 degrees
to the right or left of the field. Depeding on the specific play, the
quarter-back will throw the ball to the reciever right after the slant
takes place.
In this example the reciever will be running a shallow slant. Indicated by the purple receiver line.
 Ideally
your faster recievers would be running this route to outrun the defense.
In this example the reciever will be running a go route. Indicated by the purple reciever line.
Draw your own route:
In this simulation you will draw the route for receiver 3 (1st one on the right of the offensive line). You will do this with two clicks.
Run SimulationChoose a receiver
This simulation will allow you to choose which receiver receives the pass.
Click on the receiver to run the route. Then click the arrow to start the simulation.


Welcome to the Hart Foundation Entry Exam
Do you think you have what it takes to be a part of the Hart foundation?
Instructions
- Download the scantron from here
- Go here to start your exam
- Fill in the bubbles on the scantron and submit it for each section of the exam, this will unlock the next portion of the exam
- If you fail one section of the exam you will have to start over from the first section
- All division is floor division
- Remember to hurry, you only have 2 seconds for each section of the exam
- If you're having some trouble, you can practice here


Leetcode 105. Construct Binary Tree from Preorder and Inorder Traversal (Python)
Related Topic
Depth-First-Search. Tree. Preorder-Traversal. Inorder-Traversal.
Description
Given preorder and inorder traversal of a tree, construct the binary tree.
Note: You may assume that duplicates do not exist in the tree.
Sample I/O
For example, given
Example 1
preorder = [3,9,20,15,7]
inorder = [9,3,15,20,7]
Return the following binary tree:
3
/ \
9 20
/ \
15 7
Methodology
This question can be solved by Depth First Search.
This question is good one, it takes a special way to test the concept of tree traversal and also help you have deeper understand of tree traversal.
Before we do the question, we should have some knowledge about Preorder, Inoreder and Postorder in advanced.
Suppose we have three results array from binary tree traversal and they are Preorder, Inorder and Postorder. What we get from these informations?
- The first node of Preorder and the last node of the Postorder are both the root node of the binary tree.
- If we know the root node, then from Inorder, we know that the left side of the root node will build left subtree and rigth side of root node will build right subtree.
- We know the result of Preorder is listed in [root, left, right] order
- We know the result of Postorder is listed in [left, right, root] order
From all the information above we can apply dfs to build the binary tree by using Preorder and Inorder or Postorder and Inorder.
To sum up, we need Preorder or Postorder to locate the root node, and we need Inorder to divide left subtree and right subtree nodes.
Ok, for this question,
- We first get root node from Preorder
- Then we get the root node index from Inorder, now we know the amount of left subtree nodes and the amount of right subtree nodes. we also find the left part and right part of the inorder.
- Since we knwo both the amount of the left subtree node and right subtree nodes and we know Preorder is in this format [root,left,right], we will find the preorder of left part and right part.
- We recursively apply the new preorder list and inorder list to the function.
Code
def buildTree(self, preorder: List[int], inorder: List[int]) -> TreeNode:
if not preorder or not inorder:
return None
root = TreeNode(preorder[0])
preorder_left_node_amount = inorder_root_index = inorder.index(preorder[0])
root.left = self.buildTree(preorder[1:preorder_left_node_amount+1], inorder[:inorder_root_index])
root.right = self.buildTree(preorder[preorder_left_node_amount+1:],inorder[inorder_root_index+1:])
return root
BigO
We go through both preorder list and inorder list, so the total time complexity is O(2n)


Nginx is a powerful web server that is used by millions of websites around the world. It is known for its high performance, scalability, and stability, and is often used in conjunction with other web technologies like PHP, MySQL, and Node.js. In this tutorial, we will show you how to set up Nginx in a new Linux server instance.
The first step is to create a new Linux server instance. You can do this by signing up for a cloud hosting service like Amazon Web Services (AWS), DigitalOcean, or Linode. Once you have created a new server instance, you can connect to it using SSH.
The next step is to install Nginx on your server. You can do this by running the following command in your server's terminal:
sudo apt-get update
sudo apt-get install nginx
This will install Nginx and all its dependencies on your server.
Once Nginx is installed, you need to configure it to serve your website or web application. The configuration file for Nginx is located at /etc/nginx/nginx.conf. You can open this file using a text editor like nano:
sudo nano /etc/nginx/nginx.conf
In this file, you can configure various aspects of Nginx like the server blocks, upstream servers, and HTTP settings. For example, to configure Nginx to serve a website located at /var/www/html, you can add the following server block to your configuration file:
server {
listen 80;
server_name example.com;
root /var/www/html;
index index.html;
}
This tells Nginx to listen on port 80 (the default HTTP port), serve requests for the domain example.com, and serve files from the /var/www/html directory.
After you have configured Nginx, you should test it to make sure it is working correctly. You can do this by running the following command in your server's terminal:
sudo nginx -t
This will test your Nginx configuration and report any errors or warnings. If there are no errors, you can start Nginx by running the following command:
sudo systemctl start nginx
You can now access your website by navigating to http://your-server-ip-address in your web browser.
If you want to secure your website with SSL/TLS, you can use a free service like Let's Encrypt to obtain an SSL/TLS certificate. Once you have obtained a certificate, you can configure Nginx to use it by adding the following server block to your configuration file:
server {
listen 443 ssl;
server_name example.com;
root /var/www/html;
index index.html;
ssl_certificate /etc/letsencrypt/live/example.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/example.com/privkey.pem;
}
This tells Nginx to listen on port 443 (the default HTTPS port), serve requests for the domain example.com, and use the SSL/TLS certificate located at /etc/letsencrypt/live/example.com/fullchain.pem and the private key located at /etc/letsencrypt/live/example.com/privkey.pem.
After you have made changes to your Nginx configuration file, you need to restart nginx
sudo systemctl restart nginx


NAME
ng_gen
- ng_gen - Ninf-G stub generator
SYNOPSIS
ng_gen [-d] [-g] [-h] inputfile
DESCRIPTION
The ng_gen command interprets the Ninf-G IDL file and generates what is needed to create an Ninf-G Executable . The Ninf-G IDL is specified by the argument.
The ng_gen command executes cpp to process the Ninf-G IDL file.
If unsupported option strings(beginning with '-') are passed to ng_gen
command, it handles them as options to cpp.
The ng_gen command generates the following items.
- Ninf-G stub
- Makefile for the Ninf-G Executable
- LDIF file
- Local LDIF file
OPTIONS
- -d
- Dump information about function.
- -g
- Produce makefile in gnu make style.
- -h
- Print usage.
- --no-cpp
- Do not use cpp.
- --with-cpp=cpp_command
- Use the specified cpp instead of the default cpp.
ERRORS
If the input Ninf-G IDL is incorrect, an error message is output and the process ends abnormally.
last update : $Date: 2006/02/17 04:21:01 $


importance: 5
We’d like to get an array of map.keys()
in a variable and then apply array-specific methods to it, e.g. .push
.
But that doesn’t work:
```js run let map = new Map();
map.set(“name”, “John”);
let keys = map.keys();
! // Error: keys.push is not a function keys.push(“more”); /! ```
Why? How can we fix the code to make keys.push
work?


Hosting Private Laravel Packages on GitLab
Posted in Tools
Hosting Private Laravel Packages on GitLab
Posted in Tools
Hosting Private Laravel Packages on GitLab
Posted in Tools


- Simulate for 5 seconds: The machine is started at nominal
speed, flux is build up in the machine.
- Continue the simulation for additional 5 seconds: Subsequently
a load ramp is applied.
- Compare by plotting versus Pmech:
| Current |
I_sim |
I_meas |
| Speed |
w_sim |
w_meas |
| Power factor |
pf_sim |
pf_meas |
| Efficiency |
eff_sim |
eff_meas |
Machine parameters are taken from a standard 18.5 kW 400 V 50 Hz
motor, simulation results are compared with measurements.
| Nominal stator current |
32.85 |
A |
| Power factor |
0.898 |
|
| Speed |
1462.5 |
rpm |
| Electrical input |
20,443.95 |
W |
| Stator copper losses |
770.13 |
W |
| Stator core losses |
410.00 |
W |
| Rotor copper losses |
481.60 |
W |
| Stray load losses |
102.22 |
W |
| Friction losses |
180.00 |
W |
| Mechanical output |
18,500.00 |
W |
| Efficiency |
90.49 |
% |
| Nominal torque |
120.79 |
Nm |
| Stator resistance per phase |
0.56 |
Ω |
| Temperature coefficient |
copper |
|
| Reference temperature |
20 |
°C |
| Operation temperature |
90 |
°C |
| Stator leakage reactance at 50 Hz |
1.52 |
Ω |
| Main field reactance at 50 Hz |
66.40 |
Ω |
| Rotor leakage reactance at 50 Hz |
2.31 |
Ω |
| Rotor resistance per phase |
0.42 |
Ω |
| Temperature coefficient |
aluminium |
|
| Reference temperature |
20 |
°C |
| Operation temperature |
90 |
°C |
See:
Anton Haumer, Christian Kral, Hansjörg Kapeller, Thomas Bäuml,
Johannes V. Gragger
The AdvancedMachines Library: Loss Models for Electric
Machines
Modelica 2009, 7th International Modelica Conference
Generated at 2019-01-25T16:44:03Z by OpenModelica 1.14.0~dev-130-gefa44fb


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warn_if_no_indicesedit
This setting is only used by the alias action.
This setting must be either True
or False
.
The default value for this setting is False
.
action: alias description: "Add/Remove selected indices to or from the specified alias" options: name: alias_name warn_if_no_indices: False add: filters: - filtertype: ... remove: filters: - filtertype: ...
This setting specifies whether or not the alias action should continue with a warning or return immediately in the event that the filters in the add or remove section result in an empty index list.
Improper use of this setting can yield undesirable results
Ideal use case:
For example, you want to add the most recent seven days of time-series indices
into a lastweek alias, and remove indices older than seven days from this same
alias. If you do not not yet have any indices older than seven days, this will
result in an empty index list condition which will prevent the entire alias
action from completing successfully. If warn_if_no_indices
were set to True
,
however, it would avert that potential outcome.
Potentially undesirable outcome:
A non-beneficial case would be where if warn_if_no_indices
is set to True
,
and a misconfiguration results in indices not being found, and therefore not
being disassociated from the alias. As a result, an alias that should only
query one week now references multiple weeks of data. If warn_if_no_indices
were set to False
, this scenario would have been averted because the empty
list condition would have resulted in an error.


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